Triple
T22014683
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Devil’s Whore |
E543676
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object | George Faber |
—
|
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: George Faber | Statement: [The Devil’s Whore, executiveProducer, George Faber]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: George Faber Context triple: [The Devil’s Whore, executiveProducer, George Faber]
-
A.
George Faber
chosen
George Faber is a British television and film producer known for his work on acclaimed dramas and biographical films.
-
B.
John Davinier
John Davinier is a character in the historical drama film "Belle," depicted as a passionate idealist and love interest of the title character, Dido Elizabeth Belle.
-
C.
Henry Frye
Henry Frye is a pioneering American jurist who became the first African American chief justice of the North Carolina Supreme Court.
-
D.
Michael Sarne
Michael Sarne is a British actor, director, and writer best known for his work in 1960s film and television, including directing the controversial adaptation of Gore Vidal’s novel "Myra Breckinridge."
-
E.
Bertram Bloch
Bertram Bloch was a writer whose work served as the source material for the film "Dark Victory."
- 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_69e11e2db934819095556760c7d85e4d |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f127a774548190bcd98dc28f2d2c5f |
completed | April 28, 2026, 9:33 p.m. |
Created at: April 16, 2026, 8:22 p.m.