Triple
T25158674
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | 1948 Academy Awards |
E626381
|
entity |
| Predicate | bestMusicScoreOfAMusicalPictureWinner |
P57774
|
FINISHED |
| Object | Mother Wore Tights |
—
|
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: Mother Wore Tights | Statement: [1948 Academy Awards, bestMusicScoreOfAMusicalPictureWinner, Mother Wore Tights]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: bestMusicScoreOfAMusicalPictureWinner Context triple: [1948 Academy Awards, bestMusicScoreOfAMusicalPictureWinner, Mother Wore Tights]
-
A.
bestScoringOfAMusicalPictureWinner
Indicates that the subject is the highest-scoring entity among those that have won the Best Musical Picture award.
-
B.
academyAwardForBestMusicScoringOfADramaticOrComedyPicture
Indicates that an entity received the Academy Award for Best Music Scoring of a Dramatic or Comedy Picture for a particular film.
-
C.
bestScoringOfADramaticOrComedyPictureWinner
chosen
Indicates that the subject is the winner for best scoring of a dramatic or comedy motion picture.
-
D.
bestStoryAndScreenplayMusicalOrComedyWinner
Indicates that the subject is the winner of the award for best story and screenplay in the musical or comedy category.
-
E.
bestPictureWinner
Indicates that the subject is the film that won the Best Picture award in a given context or year.
- 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_69e2ff2834ec8190b0872e2ec3d76023 |
completed | April 18, 2026, 3:48 a.m. |
| NER | Named-entity recognition | batch_69f46b8b03508190ad7ef11ca65eda05 |
completed | May 1, 2026, 8:59 a.m. |
| PD | Predicate disambiguation | batch_69f45cfb53f4819099bba48c5057e787 |
completed | May 1, 2026, 7:57 a.m. |
Created at: April 18, 2026, 6:31 a.m.