Triple
T33548923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Academy Award for Best Picture (for Slumdog Millionaire, as co-producer) |
E859281
|
entity |
| Predicate | awardedToFilm |
P94202
|
FINISHED |
| Object | Slumdog Millionaire |
—
|
NE NERFINISHED |
How this triple was built (2 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: Slumdog Millionaire | Statement: [Academy Award for Best Picture (for Slumdog Millionaire, as co-producer), awardedToFilm, Slumdog Millionaire]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedToFilm Context triple: [Academy Award for Best Picture (for Slumdog Millionaire, as co-producer), awardedToFilm, Slumdog Millionaire]
-
A.
associatedAwardWinningFilm
Indicates that there is a relationship between an entity and a film with which it is connected, where that film has received an award.
-
B.
firstAwardedForFilm
Indicates the film for which an entity (such as a person or award) was first given or received an award.
-
C.
associatedWithAwardNominatedFilm
Indicates that an entity has a relationship to a film that has been nominated for an award.
-
D.
awardedForTheater
Indicates that an award or honor is given in recognition of achievements or contributions in the field of theater.
-
E.
hasAwardedForFilmIndustry
chosen
Indicates that an entity has given or conferred an award to another entity specifically for achievements in the film industry.
- F. None of above.
Provenance (3 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_69f3497a5be08190a39b12736899e034 |
completed | April 30, 2026, 12:22 p.m. |
| NER | Named-entity recognition | batch_69fd2a215d6c8190a1a428ccaee603f1 |
completed | May 8, 2026, 12:11 a.m. |
| PD | Predicate disambiguation | batch_69fd28ef19688190bb8370f2812a43e7 |
completed | May 8, 2026, 12:06 a.m. |
Created at: May 1, 2026, 1:39 a.m.