Triple
T529660
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Singin' in the Rain |
E10996
|
entity |
| Predicate | AFI25MusicalsRanking |
P15238
|
FINISHED |
| Object | 1 |
—
|
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: 1 | Statement: [Singin' in the Rain, AFI25MusicalsRanking, 1]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: AFI25MusicalsRanking Context triple: [Singin' in the Rain, AFI25MusicalsRanking, 1]
-
A.
academyAwardForBestMusicScoringOfADramaticOrComedyPicture
Indicates that an entity received the Academy Award for Best Music Scoring of a Dramatic or Comedy Picture for a particular film.
-
B.
hasMusicalForm
Indicates that one entity (typically a musical work or piece) is characterized by or structured according to a particular musical form.
-
C.
hasMusicDirector
Indicates that an entity (such as a film, show, or production) is associated with a specific person who served as its music director.
-
D.
hasBroadwayTitle
Indicates that an entity is associated with a specific title used for its Broadway production or representation.
-
E.
notableTheater
Indicates that there is a significant or well-known theater associated with the subject.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1d4984c8190ac372171b16bb5e4 |
completed | Feb. 28, 2026, 1:47 p.m. |
| PD | Predicate disambiguation | batch_69a2f01ac3ec8190a94a05955532c7fa |
completed | Feb. 28, 2026, 1:39 p.m. |
| PDg | Predicate description generation | batch_69a2f0dcff1881909c18e8c599c150a1 |
completed | Feb. 28, 2026, 1:42 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.