Triple
T16404402
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Vaught |
E398387
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Vaught |
E1195793
|
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: Vaught | Statement: [Johnny Vaught, familyName, Vaught]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vaught Context triple: [Johnny Vaught, familyName, Vaught]
-
A.
Vaught
chosen
Vaught is a surname most notably associated with American logician and mathematician Robert Vaught, known for his contributions to model theory.
-
B.
The Vaught
The Vaught is the popular nickname for Vaught–Hemingway Stadium, the University of Mississippi’s primary football venue in Oxford, Mississippi.
-
C.
Vaughn
Vaughn is a surname most prominently associated with English film director and producer Matthew Vaughn, known for stylish action and comic-book adaptations.
-
D.
Vinzons
Vinzons is a coastal municipality in the province of Camarines Norte in the Bicol Region of the Philippines, known for its agricultural economy and access to nearby island beaches.
-
E.
Va$htie
Va$htie is a New York–based creative director, filmmaker, DJ, and designer known for her influential role in downtown street culture and music.
- 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_69d87f2950248190bc8ad9b9bebdc8c8 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e327d1f16481909adb19dab86dcc72 |
completed | April 18, 2026, 6:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a003c6094e481909aa7402fd17fedae |
completed | May 10, 2026, 8:05 a.m. |
Created at: April 10, 2026, 5:09 a.m.