Triple
T12368580
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Brant Daugherty |
E294935
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Brant |
E566037
|
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: Brant | Statement: [Brant Daugherty, givenName, Brant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Brant Context triple: [Brant Daugherty, givenName, Brant]
-
A.
Brant
chosen
Brant is a family name most notably associated with Isabella Brant, the first wife and frequent muse of the Flemish Baroque painter Peter Paul Rubens.
-
B.
Bancroft
Bancroft is an English-origin surname borne by various notable figures in politics, academia, and the arts.
-
C.
Cabell
Cabell is a surname of English origin borne by various notable individuals, including American politician Earle Cabell.
-
D.
Flinton
Flinton is a small rural community located within the township of Addington Highlands in eastern Ontario, Canada.
-
E.
Bresnahan
Bresnahan is a surname most notably associated with early 20th-century American baseball player and Hall of Fame catcher Roger Bresnahan.
- 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_69d6ab6d8a4081908636601e69ddf262 |
completed | April 8, 2026, 7:24 p.m. |
| NER | Named-entity recognition | batch_69d93fa65a608190a1597a49751185a8 |
completed | April 10, 2026, 6:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f62abdad1c8190b083791d60138f2a |
completed | May 2, 2026, 4:47 p.m. |
Created at: April 8, 2026, 9:54 p.m.