Triple
T15926892
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mahershalalhashbaz Ali |
E386225
|
entity |
| Predicate | awardReceivedFor |
P107
|
FINISHED |
| Object |
Academy Award for Best Supporting Actor for Green Book
The Academy Award for Best Supporting Actor for Green Book is the Oscar that recognized Mahershala Ali’s acclaimed supporting performance in the 2018 film "Green Book."
|
E1184825
|
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 Green Book | Statement: [Mahershalalhashbaz Ali, awardReceivedFor, Academy Award for Best Supporting Actor for Green Book]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actor for Green Book Context triple: [Mahershalalhashbaz Ali, awardReceivedFor, Academy Award for Best Supporting Actor for Green Book]
-
A.
Academy Award for Best Supporting Actor for Manchester by the Sea
The Academy Award for Best Supporting Actor for Manchester by the Sea is the Oscar nomination recognizing an outstanding supporting performance in the 2016 drama film "Manchester by the Sea."
-
B.
Academy Award for Best Supporting Actor for Guess Who's Coming to Dinner
The Academy Award for Best Supporting Actor for "Guess Who's Coming to Dinner" is the Oscar nomination recognizing Cecil Kellaway's acclaimed supporting performance in the 1967 interracial romance drama film.
-
C.
Academy Award for Best Supporting Actor for As Good as It Gets
The Academy Award for Best Supporting Actor for "As Good as It Gets" is the Oscar nomination Greg Kinnear received for his acclaimed performance as artist Simon Bishop in the 1997 romantic comedy-drama film.
-
D.
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*.
-
E.
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."
- 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 Green Book Triple: [Mahershalalhashbaz Ali, awardReceivedFor, Academy Award for Best Supporting Actor for Green Book]
Generated description
The Academy Award for Best Supporting Actor for Green Book is the Oscar that recognized Mahershala Ali’s acclaimed supporting performance in the 2018 film "Green Book."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Academy Award for Best Supporting Actor for Green Book Target entity description: The Academy Award for Best Supporting Actor for Green Book is the Oscar that recognized Mahershala Ali’s acclaimed supporting performance in the 2018 film "Green Book."
-
A.
Academy Award for Best Supporting Actor for Manchester by the Sea
The Academy Award for Best Supporting Actor for Manchester by the Sea is the Oscar nomination recognizing an outstanding supporting performance in the 2016 drama film "Manchester by the Sea."
-
B.
Academy Award for Best Supporting Actor for Guess Who's Coming to Dinner
The Academy Award for Best Supporting Actor for "Guess Who's Coming to Dinner" is the Oscar nomination recognizing Cecil Kellaway's acclaimed supporting performance in the 1967 interracial romance drama film.
-
C.
Academy Award for Best Supporting Actor for As Good as It Gets
The Academy Award for Best Supporting Actor for "As Good as It Gets" is the Oscar nomination Greg Kinnear received for his acclaimed performance as artist Simon Bishop in the 1997 romantic comedy-drama film.
-
D.
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*.
-
E.
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."
- 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_69d86da750008190987eb26be3f6c118 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e156866de48190a744e8dcaa0c66f1 |
completed | April 16, 2026, 9:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffb5b0833081909668c042234b5b75 |
completed | May 9, 2026, 10:31 p.m. |
| NEDg | Description generation | batch_69ffb6a526188190be80658fb23cacbd |
completed | May 9, 2026, 10:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ffb71cea948190a1c5998654aee8d5 |
completed | May 9, 2026, 10:37 p.m. |
Created at: April 10, 2026, 4:52 a.m.