Triple
T10201502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Billy Butcher |
E238892
|
entity |
| Predicate | hasAlias |
P455
|
FINISHED |
| Object | Butcher |
E639102
|
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: Butcher | Statement: [Billy Butcher, hasAlias, Butcher]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Butcher Context triple: [Billy Butcher, hasAlias, Butcher]
-
A.
Butcher
chosen
Butcher is a common English occupational surname historically given to people who worked as meat cutters or slaughterers.
-
B.
the Butcher
The Butcher was the fearsome nickname of Jezzar Pasha, an 18th-century Ottoman governor of Acre notorious for his brutality and ruthless rule.
-
C.
The Butcher
"The Butcher" is the notorious nickname of Spanish general Valeriano Weyler, remembered for his brutal reconcentration policies in Cuba during the late 19th century.
-
D.
The Butcher
The Butcher is a genre painting by Dutch Golden Age artist Abraham Bloemaert depicting a detailed, everyday scene centered on a butcher’s shop.
-
E.
Bill the Butcher
Bill the Butcher is a ruthless, nativist gang leader and master knife-fighter in 19th-century New York City, best known as the main antagonist in the film "Gangs of New York."
- 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_69ca84e1ea088190b38162e43d4cfa8f |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdee40cb7481908a1bf4d5636eb8ef |
completed | April 2, 2026, 4:19 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d317fcdf18819092d0f3f216edffdc |
completed | April 6, 2026, 2:18 a.m. |
Created at: March 30, 2026, 9:14 p.m.