Triple
T34372558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | El Bruto |
E882198
|
entity |
| Predicate | directorActiveIn |
P121489
|
FINISHED |
| Object | Mexican cinema |
—
|
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: Mexican cinema | Statement: [El Bruto, directorActiveIn, Mexican cinema]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: directorActiveIn Context triple: [El Bruto, directorActiveIn, Mexican cinema]
-
A.
directorOfWorkFeaturingSubject
Indicates that the subject is the director of a creative work in which another specified entity appears or is featured.
-
B.
actsIn
Indicates that an entity performs or appears in a creative work, such as a film, play, or show.
-
C.
directorOfWorkHeAppearsIn
Indicates that a person serves as the director of a work (such as a film, show, or production) in which he himself appears.
-
D.
directorAssociatedWith
chosen
Indicates a relationship where a director is professionally connected to, responsible for, or involved with a particular entity (such as a work, organization, or project).
-
E.
actúaEn
Indicates that an actor or performer takes part in or appears in a specific production, such as a film, play, or television show.
- 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_69f349bf5d7481908dd5da4cbdf74047 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fdb04ed81c8190b8feea90c1c785a6 |
completed | May 8, 2026, 9:43 a.m. |
| PD | Predicate disambiguation | batch_69fda9d6c5148190a63205b6d9b0a1b4 |
completed | May 8, 2026, 9:16 a.m. |
Created at: May 1, 2026, 1:59 a.m.