Triple
T36565821
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rita Hayworth and Fred Astaire |
E901972
|
entity |
| Predicate | secondCollaborationFilm |
P200089
|
FINISHED |
| Object | You Were Never Lovelier |
—
|
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: You Were Never Lovelier | Statement: [Rita Hayworth and Fred Astaire, secondCollaborationFilm, You Were Never Lovelier]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: secondCollaborationFilm Context triple: [Rita Hayworth and Fred Astaire, secondCollaborationFilm, You Were Never Lovelier]
-
A.
coProducesFilmWith
Indicates a collaborative relationship in which two or more entities jointly produce the same film.
-
B.
coDirectedWith
Indicates that two or more entities jointly directed the same work or project.
-
C.
alsoFilmedIn
Indicates that the same film or video production was additionally shot or recorded in another specified location.
-
D.
directorAlsoStarred
Indicates that the person who directed a work also acted or performed as a star in that same work.
-
E.
followedByInFilm
Indicates that one scene, shot, or event in a film immediately succeeds another in the narrative or editing sequence.
- 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_69f76e6416708190a9754b8c52d4e453 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69ff70ecc1a481909571b18d56d982b8 |
completed | May 9, 2026, 5:37 p.m. |
| PD | Predicate disambiguation | batch_69ff70322a3c8190837840ea42cd3093 |
completed | May 9, 2026, 5:34 p.m. |
| PDg | Predicate description generation | batch_69ff70ebec7481908d8a4124c8d531df |
completed | May 9, 2026, 5:37 p.m. |
Created at: May 3, 2026, 4:11 p.m.