Triple

T10246041
Position Surface form Disambiguated ID Type / Status
Subject Henry Czerny E240214 entity
Predicate playedCharacter P1507 FINISHED
Object Conrad Grayson E735269 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: Conrad Grayson | Statement: [Henry Czerny, playedCharacter, Conrad Grayson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Grayson
Context triple: [Henry Czerny, playedCharacter, Conrad Grayson]
  • A. Conrad Grayson chosen
    Conrad Grayson is a powerful and morally corrupt businessman and political figure from the TV series "Revenge," serving as one of the show's primary antagonists.
  • B. Hermes Conrad
    Hermes Conrad is a bureaucratic Jamaican accountant and former limbo champion who manages Planet Express in the animated series Futurama.
  • C. Dexter Pratt
    Dexter Pratt was a 19th-century New England resident best known as the real-life blacksmith who inspired the character in Henry Wadsworth Longfellow’s poem “The Village Blacksmith.”
  • D. John Laurie
    John Laurie was a Scottish actor best known for his roles in classic British films and for playing Private Frazer in the television series "Dad's Army."
  • E. Carl Ellsworth
    Carl Ellsworth is an American screenwriter known for writing suspense and thriller films such as "Red Eye" and "Disturbia."
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d22cfe1c8190afae178e11a59b8b completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f7a597188190880200d13784f18f completed April 9, 2026, 12:49 a.m.
Created at: April 6, 2026, 11:26 a.m.