Triple
T8417040
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bonnie Watson Coleman |
E198752
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Bonnie |
E387411
|
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: Bonnie | Statement: [Bonnie Watson Coleman, givenName, Bonnie]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bonnie Context triple: [Bonnie Watson Coleman, givenName, Bonnie]
-
A.
Bonnie
chosen
Bonnie is a feminine given name of Scottish origin, often associated with attractiveness and charm.
-
B.
Bonnie
"Bonnie" is a lesser-known television project associated with David Letterman's production company, Worldwide Pants Incorporated.
-
C.
Bonny
Bonny is a historic coastal town and important oil and gas hub located on Bonny Island in Nigeria’s Rivers State.
-
D.
Bonnie Bedelia
Bonnie Bedelia is an American actress known for her versatile film and television roles, including her performance as Holly Gennero McClane in the "Die Hard" films and as a central character in the TV drama "Parenthood."
-
E.
Bonnie Jones
Bonnie Jones is known as the wife of acclaimed American television producer, director, and writer Gene Reynolds.
- 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_69ca831201b481909e137936ef99ff11 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cb84c66b5c8190b9515f55dc08ac03 |
completed | March 31, 2026, 8:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce033df9c48190a8ec6b9347ba6e81 |
completed | April 2, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:06 p.m.