Triple
T21000191
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Wilford Woodruff |
E517264
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wilford |
—
|
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: Wilford | Statement: [Wilford Woodruff, givenName, Wilford]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilford Context triple: [Wilford Woodruff, givenName, Wilford]
-
A.
Wilford
Wilford is a suburban area of Nottingham, England, situated south of the city centre by the River Trent.
-
B.
Wilford
chosen
Wilford is a masculine given name most notably associated with American actor Wilford Brimley.
-
C.
Wellford
Wellford is a small city located in Spartanburg County in the Upstate region of South Carolina, United States.
-
D.
Turffield
Turffield is a rural, grass-themed town in the Galar region of the Pokémon world, known for its large stadium and ancient geoglyph on the nearby hillside.
-
E.
Graydon
Graydon is a surname of English and Irish origin borne by various notable individuals, including those in politics, sports, and the arts.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc24a6dc8190a6bf81cf1d9590c0 |
completed | April 21, 2026, 4:25 a.m. |
Created at: April 16, 2026, 1:52 p.m.