Triple
T14766155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Necessary Roughness |
E347000
|
entity |
| Predicate | hasCharacter |
P2308
|
FINISHED |
| Object | Vance |
E979331
|
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: Vance | Statement: [Necessary Roughness, hasCharacter, Vance]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vance Context triple: [Necessary Roughness, hasCharacter, Vance]
-
A.
Vance
Vance is a surname most prominently associated with Emmy and Tony Award–winning American actor Courtney B. Vance.
-
B.
Vance
chosen
Vance is a central character in the American television sitcom "Perfect Couples," known for his volatile yet comedic romantic relationship dynamics.
-
C.
Vance
Vance is a small town in Alabama, United States, known primarily for hosting the Mercedes-Benz U.S. International manufacturing plant.
-
D.
Vance Franklin
Vance Franklin is an individual notable enough to be specifically cited as a bearer of the surname Franklin.
-
E.
MacAuliffe
MacAuliffe is a surname, a spelling variant of McAuliffe, of Irish origin.
- 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_69d822e8896c819091169882f9b20486 |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69dec7f576c881909da70627f5897c94 |
completed | April 14, 2026, 11:04 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe0cf68d94819093567bc630f67b60 |
completed | May 8, 2026, 4:19 p.m. |
Created at: April 10, 2026, 1:30 a.m.