Triple
T32509926
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Faye Dunaway as Wilhelmina Cooper |
E830902
|
entity |
| Predicate | portraysFounderOf |
P196554
|
FINISHED |
| Object | Wilhelmina Models |
—
|
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: Wilhelmina Models | Statement: [Faye Dunaway as Wilhelmina Cooper, portraysFounderOf, Wilhelmina Models]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: portraysFounderOf Context triple: [Faye Dunaway as Wilhelmina Cooper, portraysFounderOf, Wilhelmina Models]
-
A.
founderKnownFor
Indicates that a founder is particularly recognized or notable for a specific work, achievement, product, or contribution.
-
B.
isFoundingFigureOf
Indicates that a person played a primary, originating role in establishing or creating an organization, movement, institution, or similar entity.
-
C.
eponymousFounderOf
Indicates that a person is the namesake founder after whom an organization, place, or entity is named.
-
D.
wasFoundedBy
Indicates that an organization, institution, or entity came into existence through the initiating action or establishment by a specific founder or founding group.
-
E.
possiblyFoundedBy
Indicates that an entity may have been founded or established by another entity, but this founding relationship is uncertain or not definitively confirmed.
- 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_69f3492318348190ba37fb6b5f1d67f4 |
completed | April 30, 2026, 12:20 p.m. |
| NER | Named-entity recognition | batch_69fe5c1a502081909d4024e514309c8e |
completed | May 8, 2026, 9:56 p.m. |
| PD | Predicate disambiguation | batch_69fe5a9df21c819087153f5d0bcaa987 |
completed | May 8, 2026, 9:50 p.m. |
| PDg | Predicate description generation | batch_69fe5c196f4081908f150d4cd6c528fa |
completed | May 8, 2026, 9:56 p.m. |
Created at: May 1, 2026, 1 a.m.