Triple
T15260710
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bet365 |
E364765
|
entity |
| Predicate | hasKeyPerson |
P256
|
FINISHED |
| Object | John Coates |
E1146564
|
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: John Coates | Statement: [Bet365, hasKeyPerson, John Coates]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: John Coates Context triple: [Bet365, hasKeyPerson, John Coates]
-
A.
John Coates
John Coates was a prominent Australian mathematician known for his influential work in number theory, particularly Iwasawa theory, and for mentoring leading mathematicians including Andrew Wiles.
-
B.
John Coates
chosen
John Coates is a British businessman best known as the co-CEO of online gambling giant Bet365, which he co-founded with his sister Denise Coates.
-
C.
Anthony Wood
Anthony Wood is a central character in the 1973 mystery film "The Last of Sheila," involved in a complex whodunit plot surrounding a deadly yacht party game.
-
D.
Anthony Wood
Anthony Wood was a 17th-century English antiquary and historian best known for his detailed works on the history and biography of the University of Oxford.
-
E.
Anthony Wood
Anthony Wood is a technology entrepreneur best known as the founder and CEO of Roku, a leading streaming media platform.
- 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_69d85a0f08408190b3c3259ae35d79d2 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e0084e85a08190b8e63598b9f6a535 |
completed | April 15, 2026, 9:51 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69feef6def4c8190b6aed1f68d336c5a |
completed | May 9, 2026, 8:25 a.m. |
Created at: April 10, 2026, 3:14 a.m.