Triple
T7925354
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Capri Bryant |
E184046
|
entity |
| Predicate | notableRelative |
P367
|
FINISHED |
| Object | Natalia Bryant |
E241063
|
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: Natalia Bryant | Statement: [Capri Bryant, notableRelative, Natalia Bryant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalia Bryant Context triple: [Capri Bryant, notableRelative, Natalia Bryant]
-
A.
Natalia Bryant
chosen
Natalia Bryant is an American model and the eldest daughter of the late NBA legend Kobe Bryant and Vanessa Bryant.
-
B.
Natalie Evans
Natalie Evans was the wife of Pulitzer Prize–winning American editorial cartoonist Bill Mauldin.
-
C.
Nicole Johnson
Nicole Johnson is an American model and former Miss California USA best known as the wife of Olympic swimmer Michael Phelps.
-
D.
Nicole Watterson
Nicole Watterson is a hardworking, hot-tempered blue cat mother in the animated series "The Amazing World of Gumball," known for her fierce competitiveness and deep love for her family.
-
E.
Nikki Butler
Nikki Butler is an American fashion designer best known for her long-term marriage to English actor Tim Roth.
- 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_69ca828fe7bc819090f52c88dcd72183 |
completed | March 30, 2026, 2:02 p.m. |
| NER | Named-entity recognition | batch_69cb3aad48908190911905b4635bf01e |
completed | March 31, 2026, 3:08 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cd943f5aec8190a42d3932ef7c54fd |
completed | April 1, 2026, 9:55 p.m. |
Created at: March 30, 2026, 5:06 p.m.