Triple
T30996355
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Clasa Films Mundiales |
E789808
|
entity |
| Predicate | roleWithLuisBuñuel |
P170890
|
FINISHED |
| Object | handled distribution of some films |
—
|
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: handled distribution of some films | Statement: [Clasa Films Mundiales, roleWithLuisBuñuel, handled distribution of some films]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleWithLuisBuñuel Context triple: [Clasa Films Mundiales, roleWithLuisBuñuel, handled distribution of some films]
-
A.
directorOfWorkAboutSubject
Indicates that a person is the director of a creative work whose content or focus is about a specified subject.
-
B.
roleInCinerama
Indicates that an entity has a role or participation in a Cinerama film or production.
-
C.
directorOfWorkFeaturingSubject
Indicates that the subject is the director of a creative work in which another specified entity appears or is featured.
-
D.
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.
-
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. 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_69f224c65a348190baaed1c01a29900c |
completed | April 29, 2026, 3:33 p.m. |
| NER | Named-entity recognition | batch_69f695f9fe7c819084322bf6cdc70a13 |
completed | May 3, 2026, 12:25 a.m. |
| PD | Predicate disambiguation | batch_69f690ef92308190903a54fc74233269 |
completed | May 3, 2026, 12:03 a.m. |
| PDg | Predicate description generation | batch_69f695385a2881908cc28ef97fffc867 |
completed | May 3, 2026, 12:22 a.m. |
Created at: April 29, 2026, 8:56 p.m.