Triple
T21448028
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stuntman Mike |
E529127
|
entity |
| Predicate | enemyOf |
P437
|
FINISHED |
| Object | Zoe Bell (character) |
—
|
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: Zoe Bell (character) | Statement: [Stuntman Mike, enemyOf, Zoe Bell (character)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Zoe Bell (character) Context triple: [Stuntman Mike, enemyOf, Zoe Bell (character)]
-
A.
Zoë Bell
chosen
Zoë Bell is a New Zealand stuntwoman and actress best known for her stunt work with Quentin Tarantino and for playing herself in the film "Death Proof."
-
B.
Zoe Moon
Zoe Moon is the central protagonist of the sitcom "Zoe Ever After," a newly single mother navigating life, love, and career after divorce.
-
C.
Zoe Reynolds
Zoe Reynolds is a fictional MI5 intelligence officer and key member of the counter-terrorism team in the British television drama series "Spooks."
-
D.
Zoe Barnes
Zoe Barnes is an ambitious and morally flexible young journalist in the political drama series "House of Cards."
-
E.
Zoë Soul
Zoë Soul is an American actress and singer best known for her roles in films like "Prisoners" and the television series "Reed Between the Lines."
- 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_69e0c457579481909db68053ed99750c |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9e9d04548819086594c20faa5217d |
completed | April 23, 2026, 9:43 a.m. |
Created at: April 16, 2026, 6:06 p.m.