Triple
T4346243
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Betfred |
E97908
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | Peter Done |
E432427
|
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: Peter Done | Statement: [Betfred, hasKeyPerson, Peter Done]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Done Context triple: [Betfred, hasKeyPerson, Peter Done]
-
A.
Peter Done
chosen
Peter Done is a British businessman best known as the co-founder of the major UK bookmaker Betfred.
-
B.
Peter Braun
Peter Braun is a relatively obscure individual whose primary public association is sharing the surname Braun, with no widely recognized distinguishing achievements or roles.
-
C.
Stephen Poliakoff
Stephen Poliakoff is a British playwright, screenwriter, and director known for his distinctive, character-driven television dramas and films.
-
D.
Barry Warsaw
Barry Warsaw is a prominent Python developer and core contributor known for his significant role in the evolution of the Python language and its community.
-
E.
Peter Tolan
Peter Tolan is an American television producer, writer, and director best known for co-creating the series "Rescue Me" and his extensive work on comedy and drama shows.
- 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_69b34548402c819085ab68b27c235a87 |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3518d6728819084a2f40ae0bd3ac8 |
completed | March 12, 2026, 11:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5e4fa3c388190a5e3ceb733e278f8 |
completed | March 14, 2026, 10:45 p.m. |
Created at: March 12, 2026, 11:15 p.m.