Triple
T20089747
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Towanda Braxton |
E496235
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Braxton |
—
|
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: Braxton | Statement: [Towanda Braxton, familyName, Braxton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Braxton Context triple: [Towanda Braxton, familyName, Braxton]
-
A.
Braxton
chosen
Braxton is a masculine given name of English origin that has gained popularity in the United States in recent decades.
-
B.
Braxton
Braxton is a small town located in Simpson County in the U.S. state of Mississippi.
-
C.
Traylor
Traylor is the distinctive given name of American actress Traylor Howard, known for her roles in television series such as "Monk" and "Two Guys and a Girl."
-
D.
Brantley
Brantley is a small town located in Crenshaw County in the state of Alabama, United States.
-
E.
Xosha Roquemore
Xosha Roquemore is an American actress known for her roles in film and television, including a part in the sports comedy sequel "Space Jam: A New Legacy."
- 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_69da626eee3881909f3454986d4a6511 |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6655e1ef0819095f40a1ce2eb17b7 |
completed | April 20, 2026, 5:41 p.m. |
Created at: April 11, 2026, 11:19 p.m.