Triple
T30046291
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Howard Barish |
E763461
|
entity |
| Predicate | KandooFilmsFocus |
P168387
|
FINISHED |
| Object | film and television production |
—
|
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: film and television production | Statement: [Howard Barish, KandooFilmsFocus, film and television production]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: KandooFilmsFocus Context triple: [Howard Barish, KandooFilmsFocus, film and television production]
-
A.
independentFilm
Indicates that a film is produced outside the major studio system, typically with greater creative control and lower budgets.
-
B.
distributedFilm
Indicates that one entity served as the distributor responsible for releasing or circulating a particular film.
-
C.
studioFilm
Indicates that a film is produced, distributed, or otherwise created by a particular studio.
-
D.
metaFilmAbout
Indicates that one film is about, references, or self-reflexively comments on the nature, making, or conventions of another film (or filmmaking itself).
-
E.
cultFilm
Indicates that a film has acquired a dedicated, passionate fan following, often despite limited mainstream success or initial popularity.
- 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_69f22470a89c8190be7273297c0e0d19 |
completed | April 29, 2026, 3:32 p.m. |
| NER | Named-entity recognition | batch_69f67a12ee4881908418a2814ac05db8 |
completed | May 2, 2026, 10:26 p.m. |
| PD | Predicate disambiguation | batch_69f673c664f08190b4d66cdc305e10db |
completed | May 2, 2026, 9:59 p.m. |
| PDg | Predicate description generation | batch_69f6749f205c81909d1aacf462912eee |
completed | May 2, 2026, 10:03 p.m. |
Created at: April 29, 2026, 6:54 p.m.