Triple
T17424775
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Gareth Ainsworth |
E423710
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Ainsworth |
—
|
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: Ainsworth | Statement: [Gareth Ainsworth, familyName, Ainsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ainsworth Context triple: [Gareth Ainsworth, familyName, Ainsworth]
-
A.
Ainsworth
chosen
Ainsworth is an English surname of Old English origin, borne by various notable individuals in politics, sports, and the arts.
-
B.
Childrey
Childrey is a small village and civil parish in Oxfordshire, England, situated in the Vale of White Horse near the town of Wantage.
-
C.
Wincott
Wincott is an English-language surname most notably associated with Canadian actor Michael Wincott, known for his distinctive gravelly voice and villainous roles.
-
D.
Tattersett
Tattersett is a small village and civil parish in Norfolk, England, situated in a rural area of the county.
-
E.
Betsy
Betsy is a common diminutive or nickname for the given name Elizabeth.
- 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_69d889d88b6081908bada047f5b3ba51 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e4423999ac81909fdbd8bcffcb30c9 |
completed | April 19, 2026, 2:47 a.m. |
Created at: April 10, 2026, 5:46 a.m.