Triple
T2474923
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sammy Cahn |
E55064
|
entity |
| Predicate | numberOfAcademyAwardsForBestOriginalSong |
P39700
|
FINISHED |
| Object | 4 |
—
|
LITERAL FINISHED |
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: 4 | Statement: [Sammy Cahn, numberOfAcademyAwardsForBestOriginalSong, 4]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: numberOfAcademyAwardsForBestOriginalSong Context triple: [Sammy Cahn, numberOfAcademyAwardsForBestOriginalSong, 4]
-
A.
bestOriginalSongWinner
Indicates that the subject is the work (typically a song or film) that won the award for Best Original Song in a given context or ceremony.
-
B.
bestOriginalSongFilm
Indicates that a film is associated with winning or being recognized for the Best Original Song award.
-
C.
academyAwardForBestMusicScoringOfADramaticOrComedyPicture
Indicates that an entity received the Academy Award for Best Music Scoring of a Dramatic or Comedy Picture for a particular film.
-
D.
bestOriginalScoreWinner
Indicates that an entity is the winner of an award for the best original musical score associated with another entity (such as a film or production).
-
E.
numberOfAcademyAwardsForBestDirector
Indicates the total count of Academy Awards received by a director for the Best Director category.
- F. None of above. chosen
Provenance (4 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_69ab49e279e88190ab10d7248aea9d11 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd1eb3be481908fa7c6b8f1c78209 |
completed | March 7, 2026, 7:21 a.m. |
| PD | Predicate disambiguation | batch_69abd0b5e3d481909a5cbc4a96edd24f |
completed | March 7, 2026, 7:16 a.m. |
| PDg | Predicate description generation | batch_69abd1e45380819094b3f32a278bd457 |
completed | March 7, 2026, 7:21 a.m. |
Created at: March 6, 2026, 9:45 p.m.