Triple

T689569
Position Surface form Disambiguated ID Type / Status
Subject Derek Jacobi E13360 entity
Predicate notableWork P4 FINISHED
Object Cadfael E57440 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: Cadfael | Statement: [Derek Jacobi, notableWork, Cadfael]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cadfael
Context triple: [Derek Jacobi, notableWork, Cadfael]
  • A. Brother Cadfael chosen
    Brother Cadfael is a fictional 12th-century Benedictine monk and amateur sleuth, created by Ellis Peters, who solves murders and mysteries in and around medieval Shrewsbury.
  • B. Goodwin Knight
    Goodwin Knight was an American Republican politician who served as the 31st governor of California in the 1950s.
  • C. Gavan
    Gavan is a given name, typically a variant spelling of Gavin, used as a masculine first name in English-speaking contexts.
  • D. Fergus Cullen
    Fergus Cullen is an American political strategist and former chairman of the New Hampshire Republican Party.
  • E. Crispin Bonham-Carter
    Crispin Bonham-Carter is a British actor and theatre director best known for playing Mr. Bingley in the 1995 BBC adaptation of "Pride and Prejudice."
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a09669e4819089753204772e1fdd completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5dca5b2688190bfe05a165c753211 completed March 2, 2026, 6:53 p.m.
Created at: March 1, 2026, 7:36 p.m.