Triple
T1560630
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Bill Butler |
E33313
|
entity |
| Predicate | name |
P16
|
FINISHED |
| Object | Bill Butler |
E33313
|
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: Bill Butler | Statement: [Bill Butler, name, Bill Butler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bill Butler Context triple: [Bill Butler, name, Bill Butler]
-
A.
Bill Butler
chosen
Bill Butler was an acclaimed American cinematographer best known for his influential work on landmark films of the 1970s and 1980s.
-
B.
Mike Sullivan
Mike Sullivan is an American professional ice hockey coach best known for leading the Pittsburgh Penguins to multiple Stanley Cup championships.
-
C.
John Washington Butler
John Washington Butler was a Tennessee state legislator best known for authoring the Butler Act, the law at the center of the 1925 Scopes "Monkey" Trial over the teaching of evolution in public schools.
-
D.
Bill Ferguson
Bill Ferguson is an American Democratic politician who serves as president of the Maryland Senate, representing Baltimore in the state legislature.
-
E.
Patrick McClusky
Patrick McClusky is an American local government official serving as the mayor of Homewood, Alabama.
- 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_69ada967e01481908802baf2de7ad6a7 |
completed | March 8, 2026, 4:52 p.m. |
Created at: March 4, 2026, 7:27 p.m.