Triple
T16842000
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Steve Punt |
E409435
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Steve Punt |
E409435
|
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: Steve Punt | Statement: [Steve Punt, name, Steve Punt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Steve Punt Context triple: [Steve Punt, name, Steve Punt]
-
A.
Steve Punt
chosen
Steve Punt is a British comedian, writer, and satirist best known for his long-running work on BBC radio and television, often alongside comedy partner Hugh Dennis.
-
B.
Steve Pugh
Steve Pugh is a British comic book artist best known for his work on titles such as Animal Man, Preacher, and Hotwire.
-
C.
Jeff Pugh
Jeff Pugh is a notable individual distinguished enough in his field or public life to be specifically recognized as a bearer of the surname Pugh.
-
D.
Steve Lunt
Steve Lunt is a music producer and A&R executive best known for his work on major pop hits in the late 1990s and early 2000s, including projects with artists like Britney Spears.
-
E.
Pete Durnell
Pete Durnell is a British politician who stood as a candidate in the 2017 West Midlands mayoral election.
- 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_69d883952b048190887740a980b712ed |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b35167a48190b45a459023e3ab1b |
completed | April 18, 2026, 4:37 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb199168819080a9ddc7534f19a7 |
completed | May 10, 2026, 5:06 p.m. |
Created at: April 10, 2026, 5:24 a.m.