Triple
T31299983
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 57th Academy Awards |
E798189
|
entity |
| Predicate | bestOriginalSongSongwriter |
P101301
|
FINISHED |
| Object | Stevie Wonder |
—
|
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: Stevie Wonder | Statement: [57th Academy Awards, bestOriginalSongSongwriter, Stevie Wonder]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOriginalSongSongwriter Context triple: [57th Academy Awards, bestOriginalSongSongwriter, Stevie Wonder]
-
A.
bestOriginalSongComposer
chosen
Indicates that the subject is the composer who created the song that won the award for Best Original Song.
-
B.
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.
-
C.
bestOriginalSongPerformer
Indicates that the subject is the performer of the work that won the award for Best Original Song.
-
D.
bestOriginalSongFilm
Indicates that a film is associated with winning or being recognized for the Best Original Song award.
-
E.
numberOfAcademyAwardsForBestOriginalSong
Indicates the count of Academy Awards received for Best Original Song associated with an entity.
- 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_69f224e0bd4c8190aab9b29a73f7aa3c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f69edbb7648190bd89c57e0932eac1 |
completed | May 3, 2026, 1:03 a.m. |
| PD | Predicate disambiguation | batch_69f69d1bf8cc8190a78dfa5ab00daf3a |
completed | May 3, 2026, 12:55 a.m. |
Created at: April 29, 2026, 9:14 p.m.