Triple
T10199688
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jonathan Kimble Simmons |
E238849
|
entity |
| Predicate | awardReceivedFor |
P107
|
FINISHED |
| Object |
Academy Award for Best Supporting Actor for Whiplash
The Academy Award for Best Supporting Actor for *Whiplash* is the Oscar that recognized J.K. Simmons’s acclaimed performance as the intense jazz instructor Terence Fletcher in the 2014 film *Whiplash*.
|
E846852
|
NE FINISHED |
How this triple was built (4 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Academy Award for Best Supporting Actor for Whiplash | Statement: [Jonathan Kimble Simmons, awardReceivedFor, Academy Award for Best Supporting Actor for Whiplash]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actor for Whiplash Context triple: [Jonathan Kimble Simmons, awardReceivedFor, Academy Award for Best Supporting Actor for Whiplash]
-
A.
Academy Award for Best Supporting Actor for Nocturnal Animals
The Academy Award for Best Supporting Actor for "Nocturnal Animals" is the Oscar nomination recognizing Michael Shannon's acclaimed supporting performance in Tom Ford's 2016 psychological thriller film.
-
B.
Academy Award for Best Supporting Actor for Extremely Loud & Incredibly Close
The Academy Award for Best Supporting Actor for Extremely Loud & Incredibly Close is the Oscar nomination recognizing Max von Sydow’s acclaimed supporting performance in the 2011 drama film "Extremely Loud & Incredibly Close."
-
C.
Academy Award for Best Supporting Actor for The Wolf of Wall Street
The Academy Award for Best Supporting Actor for The Wolf of Wall Street is the Oscar nomination recognizing a male actor’s supporting performance in Martin Scorsese’s 2013 financial crime film.
-
D.
Academy Award for Best Actor in a Leading Role for Silver Linings Playbook
The Academy Award for Best Actor in a Leading Role for Silver Linings Playbook is the Oscar nomination recognizing Bradley Cooper’s acclaimed performance as the bipolar former teacher Pat Solitano in the 2012 romantic comedy-drama film "Silver Linings Playbook."
-
E.
Academy Award for Best Supporting Actor for A History of Violence
The Academy Award for Best Supporting Actor for A History of Violence is the Oscar nomination William Hurt received for his acclaimed supporting performance in David Cronenberg’s 2005 crime thriller.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Academy Award for Best Supporting Actor for Whiplash Triple: [Jonathan Kimble Simmons, awardReceivedFor, Academy Award for Best Supporting Actor for Whiplash]
Generated description
The Academy Award for Best Supporting Actor for *Whiplash* is the Oscar that recognized J.K. Simmons’s acclaimed performance as the intense jazz instructor Terence Fletcher in the 2014 film *Whiplash*.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actor for Whiplash Target entity description: The Academy Award for Best Supporting Actor for *Whiplash* is the Oscar that recognized J.K. Simmons’s acclaimed performance as the intense jazz instructor Terence Fletcher in the 2014 film *Whiplash*.
-
A.
Academy Award for Best Supporting Actor for Nocturnal Animals
The Academy Award for Best Supporting Actor for "Nocturnal Animals" is the Oscar nomination recognizing Michael Shannon's acclaimed supporting performance in Tom Ford's 2016 psychological thriller film.
-
B.
Academy Award for Best Supporting Actor for Extremely Loud & Incredibly Close
The Academy Award for Best Supporting Actor for Extremely Loud & Incredibly Close is the Oscar nomination recognizing Max von Sydow’s acclaimed supporting performance in the 2011 drama film "Extremely Loud & Incredibly Close."
-
C.
Academy Award for Best Supporting Actor for The Wolf of Wall Street
The Academy Award for Best Supporting Actor for The Wolf of Wall Street is the Oscar nomination recognizing a male actor’s supporting performance in Martin Scorsese’s 2013 financial crime film.
-
D.
Academy Award for Best Actor in a Leading Role for Silver Linings Playbook
The Academy Award for Best Actor in a Leading Role for Silver Linings Playbook is the Oscar nomination recognizing Bradley Cooper’s acclaimed performance as the bipolar former teacher Pat Solitano in the 2012 romantic comedy-drama film "Silver Linings Playbook."
-
E.
Academy Award for Best Supporting Actor for A History of Violence
The Academy Award for Best Supporting Actor for A History of Violence is the Oscar nomination William Hurt received for his acclaimed supporting performance in David Cronenberg’s 2005 crime thriller.
- F. None of above. chosen
Provenance (5 batches)
The batch behind each pipeline step, in order, with when it ran. Timestamps are batch-level — stages were processed in waves, so the object chain (NER → NED1 → NEDg → NED2) reads in order, but predicate / elicitation batches can sit in a different wave.
| Step | Stage | Batch ID | Status | When |
|---|---|---|---|---|
| creating | Elicitation | batch_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee3dfa108190b2888385ef96de23 |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317eca3f88190a47009be6f96977e |
completed | April 6, 2026, 2:18 a.m. |
| NEDg | Description generation | batch_69d319cb6e8c8190926bacedd18f5ded |
completed | April 6, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d31a5417f48190ac4449b44b555320 |
completed | April 6, 2026, 2:28 a.m. |
Created at: March 30, 2026, 9:14 p.m.