Triple
T22092779
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tana French |
E545949
|
entity |
| Predicate | hasStandaloneNovel |
P129131
|
FINISHED |
| Object | The Hunter |
—
|
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: The Hunter | Statement: [Tana French, hasStandaloneNovel, The Hunter]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Hunter Context triple: [Tana French, hasStandaloneNovel, The Hunter]
-
A.
The Hunter
The Hunter is a novel by American writer Howard Fast, known for its politically charged themes and exploration of social justice.
-
B.
The Hunter
"The Hunter" is a film shot by acclaimed cinematographer Fred J. Koenekamp, known for his work on major Hollywood productions in the 1970s and 1980s.
-
C.
The Hunter
The Hunter is a novel by Australian-born British author James Aldridge, known for its vivid storytelling and exploration of human resilience and moral conflict.
-
D.
The Hunter
"The Hunter" is a 1992 studio album by American singer Jennifer Warnes, known for its audiophile production and sophisticated blend of pop, rock, and adult contemporary styles.
-
E.
The Hunter
chosen
The Hunter is a psychological crime novel by Irish author Tana French, known for its atmospheric writing, complex characters, and slow-burning exploration of moral ambiguity.
- 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_69e11e36d03c8190a83a1ba802b7231b |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f128e6b1d881909bf0f4a52199354c |
completed | April 28, 2026, 9:38 p.m. |
Created at: April 16, 2026, 8:29 p.m.