Triple
T2240678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nick Hornby |
E49388
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Nick Hornby |
E49388
|
NE FINISHED |
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: Nick Hornby | Statement: [Nick Hornby, name, Nick Hornby]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Nick Hornby Context triple: [Nick Hornby, name, Nick Hornby]
-
A.
Nick Hornby
chosen
Nick Hornby is an English author, essayist, and screenwriter best known for his novels "High Fidelity," "About a Boy," and "Fever Pitch," many of which have been adapted into successful films.
-
B.
Julian Barnes
Julian Barnes is a distinguished contemporary English novelist and essayist known for his inventive narratives and exploration of memory, history, and identity.
-
C.
David Lodge
David Lodge was a British character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
-
D.
David Nicholls
David Nicholls is a British novelist and screenwriter best known for his bestselling novel "One Day" and its film and television adaptations.
-
E.
David Mitchell
David Mitchell is a British novelist best known for his genre-blending, intricately structured works such as "Cloud Atlas" and "The Bone Clocks."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69a88aa84bdc819086df50e9c20b301e |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abc0bccf688190bd10202a62fdf34e |
completed | March 7, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6b0cb4f0819087061434d44dc3a3 |
completed | March 9, 2026, 6:39 a.m. |
Created at: March 4, 2026, 7:47 p.m.