Triple
T10279649
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Natalia Bryant |
E241063
|
entity |
| Predicate | name |
P16
|
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: [Natalia Bryant, name, Natalia Bryant]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Natalia Bryant Context triple: [Natalia Bryant, name, 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.
Natalie Brown
Natalie Brown is the younger sister of Louise Brown, the world's first baby conceived via in vitro fertilization.
-
D.
Nicole Johnson
Nicole Johnson is an American model and former Miss California USA best known as the wife of Olympic swimmer Michael Phelps.
-
E.
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.
- 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_69d381a94c1881908fc38fc263d9b9c2 |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d29fdf2c819099dd581deac08cf2 |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d7fb440b9c81909db46299053e11da |
completed | April 9, 2026, 7:17 p.m. |
Created at: April 6, 2026, 11:38 a.m.