Triple
T10135559
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paul Bowles |
E226845
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Bowles |
E99564
|
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: Bowles | Statement: [Paul Bowles, familyName, Bowles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bowles Context triple: [Paul Bowles, familyName, Bowles]
-
A.
Bowles
chosen
Bowles is a surname most prominently associated with Erskine Bowles, an American businessman and former White House Chief of Staff.
-
B.
Bowles
Bowles is the middle name of Lester B. Pearson, the Canadian diplomat and prime minister who won the Nobel Peace Prize.
-
C.
Bowers
Bowers is a surname of English origin borne by various notable individuals across different fields.
-
D.
Barnes
Barnes is a business partner associated with Joseph Reed, likely involved in a shared professional or commercial venture.
-
E.
Barnes
Barnes is a riverside district in the London Borough of Richmond upon Thames known for its village-like atmosphere, green spaces, and historic architecture.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cde87fae288190bb4f13e1ae90f50a |
completed | April 2, 2026, 3:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5e4664081908c1821006bd2f57f |
completed | April 5, 2026, 10:44 p.m. |
Created at: March 30, 2026, 9:06 p.m.