Triple
T381967
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 83rd Academy Awards |
E8699
|
entity |
| Predicate | bestAdaptedScreenplayWinner |
P10677
|
FINISHED |
| Object |
The Social Network
The Social Network is a 2010 biographical drama film directed by David Fincher that chronicles the contentious founding of Facebook and the ensuing legal battles.
|
E48015
|
NE FINISHED |
How this triple was built (5 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: The Social Network | Statement: [83rd Academy Awards, bestAdaptedScreenplayWinner, The Social Network]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Social Network Context triple: [83rd Academy Awards, bestAdaptedScreenplayWinner, The Social Network]
-
A.
The Adjustment Bureau
The Adjustment Bureau is a 2011 science-fiction romantic thriller film about a politician who discovers a mysterious organization that controls fate, co-starring Emily Blunt and Matt Damon.
-
B.
Like Crazy
Like Crazy is a 2011 romantic drama film about a long-distance relationship strained by immigration issues, starring Anton Yelchin and Felicity Jones.
-
C.
Silver Linings Playbook
Silver Linings Playbook is a 2012 romantic comedy-drama film directed by David O. Russell, known for its blend of offbeat humor and mental health themes and for earning Jennifer Lawrence an Academy Award for Best Actress.
-
D.
La La Land
La La Land is a 2016 romantic musical film that follows the love story of an aspiring actress and a jazz musician in Los Angeles, celebrated for its nostalgic homage to classic Hollywood musicals and its acclaimed direction, music, and performances.
-
E.
Spotlight
"Spotlight" is an R&B ballad by Jennifer Hudson that showcases her powerful vocals and explores themes of control and emotional struggle in a relationship.
- 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: The Social Network Triple: [83rd Academy Awards, bestAdaptedScreenplayWinner, The Social Network]
Generated description
The Social Network is a 2010 biographical drama film directed by David Fincher that chronicles the contentious founding of Facebook and the ensuing legal battles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Social Network Target entity description: The Social Network is a 2010 biographical drama film directed by David Fincher that chronicles the contentious founding of Facebook and the ensuing legal battles.
-
A.
The Adjustment Bureau
The Adjustment Bureau is a 2011 science-fiction romantic thriller film about a politician who discovers a mysterious organization that controls fate, co-starring Emily Blunt and Matt Damon.
-
B.
Like Crazy
Like Crazy is a 2011 romantic drama film about a long-distance relationship strained by immigration issues, starring Anton Yelchin and Felicity Jones.
-
C.
Silver Linings Playbook
Silver Linings Playbook is a 2012 romantic comedy-drama film directed by David O. Russell, known for its blend of offbeat humor and mental health themes and for earning Jennifer Lawrence an Academy Award for Best Actress.
-
D.
La La Land
La La Land is a 2016 romantic musical film that follows the love story of an aspiring actress and a jazz musician in Los Angeles, celebrated for its nostalgic homage to classic Hollywood musicals and its acclaimed direction, music, and performances.
-
E.
Spotlight
"Spotlight" is an R&B ballad by Jennifer Hudson that showcases her powerful vocals and explores themes of control and emotional struggle in a relationship.
- F. None of above. chosen
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestAdaptedScreenplayWinner Context triple: [83rd Academy Awards, bestAdaptedScreenplayWinner, The Social Network]
-
A.
bestPictureWinner
Indicates that the subject is the film that won the Best Picture award in a given context or year.
-
B.
bestDirectorWinner
Indicates that the subject is the winner of a "Best Director" award for the object (such as a specific film, event, or year).
-
C.
bestActorWinner
Indicates that the subject is the recipient of a "Best Actor" award for a particular performance or event.
-
D.
bestSupportingActressFilm
Indicates the film for which a person received or was nominated for a Best Supporting Actress award.
-
E.
bestSupportingActorFilm
Indicates the film for which a person received the Best Supporting Actor award.
- F. None of above. chosen
Provenance (7 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_69a2e7f47dd08190a4e294ccbbe46cd4 |
completed | Feb. 28, 2026, 1:04 p.m. |
| NER | Named-entity recognition | batch_69a2ec2e3d5c8190b358bd9fd6b16a14 |
completed | Feb. 28, 2026, 1:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3fb0100fc8190819b977bb7a98d7f |
completed | March 1, 2026, 8:38 a.m. |
| NEDg | Description generation | batch_69a3fb6569e881909d52f07a4207ed24 |
completed | March 1, 2026, 8:40 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a3fbdfdfcc81909ae03736623594d5 |
completed | March 1, 2026, 8:42 a.m. |
| PD | Predicate disambiguation | batch_69a2e96602188190b0cbc167f55a9237 |
completed | Feb. 28, 2026, 1:11 p.m. |
| PDg | Predicate description generation | batch_69a2ea2dc3088190a2aeb4496aff3582 |
completed | Feb. 28, 2026, 1:14 p.m. |
Created at: Feb. 28, 2026, 1:08 p.m.