Triple

T14828925
Position Surface form Disambiguated ID Type / Status
Subject Benny the Butcher E348646 entity
Predicate familyName P18 FINISHED
Object Pennick E951061 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: Pennick | Statement: [Benny the Butcher, familyName, Pennick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pennick
Context triple: [Benny the Butcher, familyName, Pennick]
  • A. Pennick chosen
    Pennick is a surname most notably associated with American character actor Jack Pennick, known for his frequent appearances in John Ford films.
  • B. Paton
    Paton is a surname and given name of Scottish origin, used by various notable individuals in fields such as sports, politics, and the arts.
  • C. Picken
    Picken is a surname and variant of the name Pickens, borne by various individuals across English-speaking countries.
  • D. Pinsent
    Pinsent is an English surname most notably associated with Sir Matthew Pinsent, the multiple Olympic gold medal-winning rower.
  • E. Pogue
    Pogue is the surname of American technology writer, TV presenter, and author David Pogue.
  • 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_69d822eb8f588190bf53445e730a934f completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0737d4c8190a49bf6b013da208c completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe38a16fd881909d246d8d1811a673 completed May 8, 2026, 7:25 p.m.
Created at: April 10, 2026, 1:51 a.m.