Triple
T20816906
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Copycat |
E512463
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object | Peter Foley |
—
|
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: Peter Foley | Statement: [Copycat, mainCharacter, Peter Foley]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Foley Context triple: [Copycat, mainCharacter, Peter Foley]
-
A.
Peter Foley
chosen
Peter Foley is the protagonist of the thriller novel "Copycat," around whom the story's central mystery and suspenseful events revolve.
-
B.
Derek Twigg
Derek Twigg is a British Labour Party politician and Member of Parliament who has held several junior ministerial roles in UK government.
-
C.
Peter Goodfellow
Peter Goodfellow is an artist and illustrator known for creating science fiction and fantasy book covers, including artwork for Arthur C. Clarke’s novels.
-
D.
Jim Farrer
Jim Farrer is a businessman best known as a founder of the British property development company Berkeley Group.
-
E.
Tony Henry
Tony Henry is a vocalist known for his guest appearance on Chamillionaire's hip-hop album "Ultimate 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_69e0b4cd25088190b48ca9700cd24efc |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6c2f3473c81908c43a2ec242b1acd |
completed | April 21, 2026, 12:21 a.m. |
Created at: April 16, 2026, 12:41 p.m.