Triple
T22452122
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nigel Sears |
E555018
|
entity |
| Predicate | relative |
P37
|
FINISHED |
| Object | Andy Murray |
—
|
NE NERFINISHED |
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: Andy Murray | Statement: [Nigel Sears, relative, Andy Murray]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Andy Murray Context triple: [Nigel Sears, relative, Andy Murray]
-
A.
Andy Murray
chosen
Andy Murray is a Scottish professional tennis player and multiple Grand Slam champion who has been one of Britain’s most successful and prominent sports figures in the modern era.
-
B.
Tom Murray
Tom Murray is a music supervisor known for overseeing and coordinating the musical elements of film and television projects.
-
C.
Tom Murray
Tom Murray was an American character actor of the silent film era, known for his supporting roles in early Hollywood productions.
-
D.
Thomas George Roddick
Thomas George Roddick was a prominent Canadian surgeon, medical reformer, and politician known for helping to establish standardized medical licensing in Canada.
-
E.
Greg Rusedski
Greg Rusedski is a former British-Canadian professional tennis player best known for his powerful left-handed serve and reaching the 1997 US Open final.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e5113208190ab58c6b595f9d1d0 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15b4c63e88190aeedc326599edd18 |
completed | April 29, 2026, 1:13 a.m. |
Created at: April 16, 2026, 8:48 p.m.