Triple
T23877977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 46th Academy Awards |
E600118
|
entity |
| Predicate | bestOriginalMusicalScore |
P10678
|
FINISHED |
| Object | The Sting |
—
|
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: The Sting | Statement: [46th Academy Awards, bestOriginalMusicalScore, The Sting]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOriginalMusicalScore Context triple: [46th Academy Awards, bestOriginalMusicalScore, The Sting]
-
A.
bestOriginalScoreWinner
chosen
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).
-
B.
bestOriginalSongComposer
Indicates that the subject is the composer who created the song that won the award for Best Original Song.
-
C.
bestOriginalSongPerformer
Indicates that the subject is the performer of the work that won the award for Best Original Song.
-
D.
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.
-
E.
bestOriginalSongFilm
Indicates that a film is associated with winning or being recognized for the Best Original Song award.
- 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_69e295318e148190b9979d8fc02e168f |
completed | April 17, 2026, 8:16 p.m. |
| NER | Named-entity recognition | batch_69f1cc032c9c81909986ae6f672c1ad1 |
completed | April 29, 2026, 9:14 a.m. |
| PD | Predicate disambiguation | batch_69f1614a65a88190bde1efb368a151e4 |
completed | April 29, 2026, 1:39 a.m. |
Created at: April 17, 2026, 8:23 p.m.