Triple

T8577954
Position Surface form Disambiguated ID Type / Status
Subject Richard Dawson E203094 entity
Predicate stageName P7872 FINISHED
Object Richard Dawson E203094 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: Richard Dawson | Statement: [Richard Dawson, stageName, Richard Dawson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Richard Dawson
Context triple: [Richard Dawson, stageName, Richard Dawson]
  • A. Richard Dawson chosen
    Richard Dawson was a British-American actor and television personality best known as the original host of the game show "Family Feud" and for his role as Corporal Newkirk on the sitcom "Hogan's Heroes."
  • B. Tony Parsons
    Tony Parsons is a British journalist and bestselling novelist known for works such as "Man and Boy," often exploring themes of family, relationships, and modern masculinity.
  • C. Tony Jay
    Tony Jay was a British actor and voice actor renowned for his deep, resonant voice and villainous roles in animation, film, and video games.
  • D. Roger Davies
    Roger Davies is an actor known for his role in the science fiction horror film "The Cloverfield Paradox."
  • E. Roy Budd
    Roy Budd was a British jazz pianist and film composer best known for his iconic scores to movies such as "Get Carter" and other 1970s and 1980s thrillers.
  • 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_69ca8328ebe481909a8c038fa79959b4 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbea989bec81909b8c8b4af7c568ff completed March 31, 2026, 3:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69cea89550f481908a7ed45303b71731 completed April 2, 2026, 5:34 p.m.
Created at: March 30, 2026, 6:22 p.m.