Triple
T28404483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Goldwyn Girls |
E719487
|
entity |
| Predicate | typicalRoleInFilms |
P18942
|
FINISHED |
| Object | background singers and dancers |
—
|
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: background singers and dancers | Statement: [The Goldwyn Girls, typicalRoleInFilms, background singers and dancers]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typicalRoleInFilms Context triple: [The Goldwyn Girls, typicalRoleInFilms, background singers and dancers]
-
A.
roleInFilmEcosystem
Indicates the specific function or position an entity holds within the broader network of activities, stakeholders, and processes that make up the film ecosystem.
-
B.
relationshipRoleInFilm
Indicates that one entity has a specific relationship-based role (e.g., spouse, sibling, partner) to another entity within the context of a particular film.
-
C.
cinematicRole
Indicates that one entity performs or holds a specific role or character part within a cinematic work associated with another entity.
-
D.
typicalRole
chosen
Indicates that one entity serves as the usual, characteristic, or commonly expected role or function of another entity.
-
E.
famousRole
Indicates that an entity is best known for portraying or performing a particular role or character.
- 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_69eff6efd1b08190ae3cefd4f11388a2 |
completed | April 27, 2026, 11:53 p.m. |
| NER | Named-entity recognition | batch_6a00a094c44c81908e4501151688a635 |
completed | May 10, 2026, 3:13 p.m. |
| PD | Predicate disambiguation | batch_6a009fcdfd848190841deaad9667d347 |
completed | May 10, 2026, 3:10 p.m. |
Created at: April 28, 2026, 1:22 a.m.