Triple
T30996720
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CIFESA |
E789820
|
entity |
| Predicate | roleInSpanishCinema |
P55759
|
FINISHED |
| Object | dominant studio system player |
—
|
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: dominant studio system player | Statement: [CIFESA, roleInSpanishCinema, dominant studio system player]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInSpanishCinema Context triple: [CIFESA, roleInSpanishCinema, dominant studio system player]
-
A.
roleWithLuisBuñuel
Indicates that an entity had an acting role in a work directed by or associated with Luis Buñuel.
-
B.
roleInCinerama
Indicates that an entity has a role or participation in a Cinerama film or production.
-
C.
actúaEn
Indicates that an actor or performer takes part in or appears in a specific production, such as a film, play, or television show.
-
D.
roleInFilmEcosystem
chosen
Indicates the specific function or position an entity holds within the broader network of activities, stakeholders, and processes that make up the film ecosystem.
-
E.
cinematicRole
Indicates that one entity performs or holds a specific role or character part within a cinematic work associated with another entity.
- 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69ff965f9be48190b015b788207be676 |
completed | May 9, 2026, 8:17 p.m. |
| PD | Predicate disambiguation | batch_69ff95d3015c8190b9d293fe31b859c3 |
completed | May 9, 2026, 8:15 p.m. |
Created at: April 29, 2026, 8:56 p.m.