Triple
T15031160
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Pinkney |
E378346
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Pinkney |
E653161
|
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: Pinkney | Statement: [Bill Pinkney, familyName, Pinkney]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pinkney Context triple: [Bill Pinkney, familyName, Pinkney]
-
A.
Pinkney
chosen
Pinkney is a surname of English origin borne by various notable individuals, including American statesman and diplomat William Pinkney.
-
B.
Pinky Rose
Pinky Rose is the shy, emotionally fragile young woman played by Sissy Spacek in Robert Altman’s 1977 psychological drama film "3 Women."
-
C.
Pinkwell
Pinkwell is a residential area within the town of Hayes in the London Borough of Hillingdon, England.
-
D.
Penilee
Penilee is a residential district in the southwest of Glasgow, Scotland, characterized by post-war housing and local community amenities.
-
E.
Pijin
Pijin is an English-based creole language widely used as a lingua franca in the Solomon Islands.
- 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_69d85cd46b2c819090d054c27787f677 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded7e2416081908dfba48d7f7b4a84 |
completed | April 15, 2026, 12:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe9ddb46888190b1d2fe2992fc120b |
completed | May 9, 2026, 2:37 a.m. |
Created at: April 10, 2026, 2:59 a.m.