Triple
T8091930
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gareth Hunt |
E188886
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Gareth Hunt |
E188886
|
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: Gareth Hunt | Statement: [Gareth Hunt, name, Gareth Hunt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gareth Hunt Context triple: [Gareth Hunt, name, Gareth Hunt]
-
A.
Gareth Hunt
chosen
Gareth Hunt was a British actor best known for his roles in the television series "The New Avengers" and the sitcom "Side by Side."
-
B.
Peter Butterworth
Peter Butterworth was an English comic actor best known for his roles in the "Carry On" film series and various British television comedies.
-
C.
Gareth Unwin
Gareth Unwin is a British film producer best known for his Academy Award-winning work on the historical drama "The King’s Speech."
-
D.
Gareth Warren
Gareth Warren is an individual notable enough to be recognized as a bearer of the surname Warren, though specific widely known public achievements or roles are not clearly documented.
-
E.
Trevor Waite
Trevor Waite is an editor known for his work on the film "Bright Young Things."
- 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_69ca82b7b3e88190b9041ab0ef28b3cb |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb42217a1881909792b08a2f06fb75 |
completed | March 31, 2026, 3:40 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd3438ae2481909549a05f195cda39 |
completed | April 1, 2026, 3:05 p.m. |
Created at: March 30, 2026, 5:30 p.m.