Triple
T20784289
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Joan the Woman |
E511586
|
entity |
| Predicate | costumeDesignBy |
P184
|
FINISHED |
| Object | Clare West |
—
|
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: Clare West | Statement: [Joan the Woman, costumeDesignBy, Clare West]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Clare West Context triple: [Joan the Woman, costumeDesignBy, Clare West]
-
A.
Clare West
chosen
Clare West was an early Hollywood costume designer known for her influential work on major silent films, including collaborations with director Cecil B. DeMille.
-
B.
Clare Clifford
Clare Clifford is a British actress known for her work in film, television, and theatre, including a role in the romantic comedy-drama "Miss Pettigrew Lives for a Day."
-
C.
Clare Spencer
Clare Spencer is a film producer best known for her work on Roger Waters' concert film "The Wall."
-
D.
Clare Teal
Clare Teal is an English jazz and big band singer known for her rich vocals, interpretations of classic standards, and regular performances on BBC radio.
-
E.
Clare Randell
Clare Randell is the protagonist of the novel "Fair Game," around whom the story’s central conflicts and developments revolve.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b4cac7a48190a715cb3d545df2b4 |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c28a4584819084d2d02febe47001 |
completed | April 21, 2026, 12:19 a.m. |
Created at: April 16, 2026, 12:38 p.m.