Triple
T21480999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kimberly J. Brown |
E529991
|
entity |
| Predicate | birthName |
P65
|
FINISHED |
| Object | Kimberly Jean Brown |
—
|
NE NERFINISHED |
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: Kimberly Jean Brown | Statement: [Kimberly J. Brown, birthName, Kimberly Jean Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kimberly Jean Brown Context triple: [Kimberly J. Brown, birthName, Kimberly Jean Brown]
-
A.
Kimberly Woodard
Kimberly Woodard is a television producer best known for her executive production work on the live law-enforcement reality series "Live PD."
-
B.
Kimberly J. Brown
chosen
Kimberly J. Brown is an American actress best known for playing Marnie Piper in Disney Channel’s Halloweentown film series.
-
C.
Kimberly Denise Jones
Kimberly Denise Jones is an American rapper, songwriter, and actress best known by her stage name Lil' Kim, a pioneering figure in hardcore hip hop and fashion.
-
D.
Teisha Brown
Teisha Brown is a singer best known as a member of the American R&B group Brownstone.
-
E.
Melissa Viviane Jefferson
Melissa Viviane Jefferson is an American singer, rapper, flutist, and songwriter professionally known as Lizzo, celebrated for her body-positive anthems and energetic performances.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0c45acc3881908e38d3f28964152b |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69e9ea338f988190a3044f8d02a567fe |
completed | April 23, 2026, 9:45 a.m. |
Created at: April 16, 2026, 6:21 p.m.