Triple
T28171288
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | His Kind of Woman |
E715464
|
entity |
| Predicate | uncreditedProducer |
P164094
|
FINISHED |
| Object | Howard Hughes |
—
|
NE NERFINISHED |
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: Howard Hughes | Statement: [His Kind of Woman, uncreditedProducer, Howard Hughes]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: uncreditedProducer Context triple: [His Kind of Woman, uncreditedProducer, Howard Hughes]
-
A.
uncreditedDirector
Indicates that a person directed a work but was not officially credited as its director.
-
B.
creditedProducer
Indicates that an entity is acknowledged as a producer in the official credits of a work or production.
-
C.
uncreditedScreenwriter
Indicates that a person contributed to writing a screenplay for a work but was not officially credited as a screenwriter.
-
D.
producedCrewMember
Indicates that one entity served as a crew member involved in the creation or production of another entity (such as a film, show, or project).
-
E.
coExecutiveProducerOf
Indicates a person who shares the role and responsibilities of an executive producer for a particular production or project.
- 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_69efd6b340f0819095680e15dcdc1830 |
completed | April 27, 2026, 9:35 p.m. |
| NER | Named-entity recognition | batch_69f64236bd1881908fe73f07a7594dd0 |
completed | May 2, 2026, 6:28 p.m. |
| PD | Predicate disambiguation | batch_69f63c6c1a948190b68c0f92c264cc0c |
completed | May 2, 2026, 6:03 p.m. |
| PDg | Predicate description generation | batch_69f63fd4f7448190930c723ba7cfce62 |
completed | May 2, 2026, 6:17 p.m. |
Created at: April 27, 2026, 10:13 p.m.