Triple
T23877976
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 46th Academy Awards |
E600118
|
entity |
| Predicate | bestOriginalScoreFilm |
P10678
|
FINISHED |
| Object | The Way We Were |
—
|
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 Way We Were | Statement: [46th Academy Awards, bestOriginalScoreFilm, The Way We Were]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestOriginalScoreFilm Context triple: [46th Academy Awards, bestOriginalScoreFilm, The Way We Were]
-
A.
bestOriginalSongFilm
Indicates that a film is associated with winning or being recognized for the Best Original Song award.
-
B.
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).
-
C.
bestOriginalScreenplayWinner
Indicates that the subject is the work (typically a film) that won the award for Best Original Screenplay in a given context or year.
-
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.
bestPictureInitiallyAnnouncedAs
Indicates that an award for Best Picture was first (and possibly mistakenly) announced as going to a particular film or recipient.
- 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.