Triple
T34487414
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ricky Stanicky |
E885366
|
entity |
| Predicate | productionRoleOfMasonNovick |
P36865
|
FINISHED |
| Object | film producer |
—
|
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 producer | Statement: [Ricky Stanicky, productionRoleOfMasonNovick, film producer]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: productionRoleOfMasonNovick Context triple: [Ricky Stanicky, productionRoleOfMasonNovick, film producer]
-
A.
producedRole
Indicates that one entity was responsible for creating, originating, or bringing about a particular role associated with another entity.
-
B.
producesRole
Indicates that one entity generates, creates, or gives rise to a particular role associated with another entity.
-
C.
producerRole
Indicates that an entity serves in the role of producer for another entity, such as a work, product, or event.
-
D.
roleInFilmProduction
Indicates the specific function or responsibility an entity has within the making of a film.
-
E.
hasProductionRole
chosen
Indicates that an entity holds a specific role or function in the production or creation process of 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_69f349c947fc81909d30b53c194d6ea1 |
completed | April 30, 2026, 12:23 p.m. |
| NER | Named-entity recognition | batch_69fe9b0276d48190b554fa22b043e6d8 |
completed | May 9, 2026, 2:25 a.m. |
| PD | Predicate disambiguation | batch_69fe999692b081909921e1148d66f0ef |
completed | May 9, 2026, 2:19 a.m. |
Created at: May 1, 2026, 2:01 a.m.