Triple
T14785632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Argentine cinema |
E347514
|
entity |
| Predicate | institutionRole |
P116100
|
FINISHED |
| Object | state funding and regulation of film industry |
—
|
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: state funding and regulation of film industry | Statement: [Argentine cinema, institutionRole, state funding and regulation of film industry]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: institutionRole Context triple: [Argentine cinema, institutionRole, state funding and regulation of film industry]
-
A.
institution
Indicates that one entity is an organization or establishment (such as a school, bank, or government body) that serves as a structured social or functional institution.
-
B.
inInstitution
Indicates that an entity is located within, belongs to, or is formally associated with a particular institution.
-
C.
roleAtInstitution
Indicates that an entity holds or has held a specific role or position within a particular institution.
-
D.
administrativeAffiliation
Indicates that one entity is formally connected to, governed by, or overseen by another entity within an administrative or organizational structure.
-
E.
institutionCategory
Indicates the classification or type of institution to which an entity belongs (e.g., university, hospital, bank).
- 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_69d822e9b9e08190bedcc31a163fda82 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69deca9f1c9c8190a8b28ba0ddd3e2e3 |
completed | April 14, 2026, 11:15 p.m. |
| PD | Predicate disambiguation | batch_69de8c090d1081909b5a9bf437499d6c |
completed | April 14, 2026, 6:48 p.m. |
| PDg | Predicate description generation | batch_69de90c5e3a08190868680b081308c1d |
completed | April 14, 2026, 7:08 p.m. |
Created at: April 10, 2026, 1:31 a.m.