Triple
T1560632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Butler |
E33313
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object | Wilmer |
E9810
|
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: Wilmer | Statement: [Bill Butler, givenName, Wilmer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Wilmer Context triple: [Bill Butler, givenName, Wilmer]
-
A.
Wilmer
chosen
Wilmer is a small city located in the southern part of the Dallas–Fort Worth metropolitan area in Texas.
-
B.
Oswaldo
Oswaldo is the given first name of Ozzie Guillén, the Venezuelan former Major League Baseball shortstop and World Series–winning manager.
-
C.
Wilbert
Wilbert is the given first name of American character actor Bill Cobbs, known for his numerous supporting roles in film and television.
-
D.
Willson
Willson is a less common spelling variant of the surname Wilson, typically used as a family name or occasionally as a given name.
-
E.
Victorino
Victorino is a masculine given name, primarily used in Spanish and Portuguese-speaking cultures, derived from the name Victor.
- 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_69a885ef9cf48190b0af0f5ce3d02231 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a90885d6208190b4b7d6ad336d4d16 |
completed | March 5, 2026, 4:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad3712e2ac81908c66f18fa89d46f2 |
completed | March 8, 2026, 8:45 a.m. |
Created at: March 4, 2026, 7:27 p.m.