Triple
T21415276
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Philip Wicksteed |
E528284
|
entity |
| Predicate | placeOfDeath |
P21
|
FINISHED |
| Object | Childrey |
—
|
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: Childrey | Statement: [Philip Wicksteed, placeOfDeath, Childrey]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Childrey Context triple: [Philip Wicksteed, placeOfDeath, Childrey]
-
A.
Childrey
chosen
Childrey is a small village and civil parish in Oxfordshire, England, situated in the Vale of White Horse near the town of Wantage.
-
B.
Wincott
Wincott is an English-language surname most notably associated with Canadian actor Michael Wincott, known for his distinctive gravelly voice and villainous roles.
-
C.
Ainsworth
Ainsworth is an English surname of Old English origin, borne by various notable individuals in politics, sports, and the arts.
-
D.
Mary Goodwin
Mary Goodwin is a fictional character known as Proud Mary, typically portrayed as a strong, independent woman associated with themes of resilience and empowerment.
-
E.
Sophie Wright
Sophie Wright is a British chef and food writer known for her cookbooks, television appearances, and work promoting accessible, seasonal cooking.
- 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_69e0c454c248819093425d1099101c09 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ee62d16bfc8190a1c08dd9d0c80e02 |
completed | April 26, 2026, 7:09 p.m. |
Created at: April 16, 2026, 5:45 p.m.