Triple

T22945995
Position Surface form Disambiguated ID Type / Status
Subject Don Castle E569867 entity
Predicate name P16 FINISHED
Object Don Castle NE NERFINISHED

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: Don Castle | Statement: [Don Castle, name, Don Castle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Castle
Context triple: [Don Castle, name, Don Castle]
  • A. Don Castle chosen
    Don Castle was an American film actor active in the 1930s and 1940s, known for his roles in Hollywood dramas and B-movies.
  • B. Don Dillaway
    Don Dillaway was an American film and stage actor active in the early to mid-20th century, known for supporting roles in Hollywood productions.
  • C. Paul Orndorff
    Paul Orndorff was an American professional wrestler best known for his 1980s WWF run as "Mr. Wonderful" and his prominent role in the first WrestleMania main event.
  • D. Brutus "The Barber" Beefcake
    Brutus "The Barber" Beefcake is an American professional wrestler best known for his flamboyant persona, barber-themed gimmick, and prominent runs in the WWF during the 1980s and early 1990s.
  • E. Ric Flair
    Ric Flair is a legendary professional wrestler widely regarded as one of the greatest of all time, known for his flamboyant "Nature Boy" persona, multiple world championships, and major influence on the sport.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e2459199d08190a8184ee2aa935842 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1819d2d7881909e6390717ff79df0 completed April 29, 2026, 3:57 a.m.
Created at: April 17, 2026, 3:46 p.m.