Triple
T2665565
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Chester Bowles |
E55626
|
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: [Chester Bowles, familyName, Bowles]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bowles Context triple: [Chester 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.
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.
-
D.
Barnes
Barnes is the given name of Barnes Wallis, the British engineer and inventor best known for creating the World War II "bouncing bomb."
-
E.
Brooks
Brooks is a common English-language surname borne by numerous notable individuals across politics, arts, sports, and other fields.
- 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_69ab49e54de48190be708cd1cf8be073 |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd96ed2748190a4feae98199b459d |
completed | March 7, 2026, 7:53 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69afa058fdd08190a355fc8131cd6695 |
completed | March 10, 2026, 4:38 a.m. |
Created at: March 6, 2026, 9:54 p.m.