Triple

T8546366
Position Surface form Disambiguated ID Type / Status
Subject Of Funerals and Fish E202334 entity
Predicate hasMainCharacter P1183 FINISHED
Object Norman Clegg E247299 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: Norman Clegg | Statement: [Of Funerals and Fish, hasMainCharacter, Norman Clegg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Norman Clegg
Context triple: [Of Funerals and Fish, hasMainCharacter, Norman Clegg]
  • A. Norman Clegg chosen
    Norman Clegg is a mild-mannered, philosophically inclined retired man and one of the central comedic figures in the long-running British sitcom "Last of the Summer Wine."
  • B. Norman Leavitt
    Norman Leavitt was an American character actor known for his numerous supporting roles in mid-20th-century film and television comedies.
  • C. Norman Burton
    Norman Burton was an American character actor best known for his supporting roles in films and television, including a notable appearance in the James Bond franchise.
  • D. Norman Milburn
    Norman Milburn is a member of the Milburn family associated with famed English footballer Jackie Milburn.
  • E. Norman Hilberry
    Norman Hilberry was an American physicist and administrator best known for his leadership roles in the Manhattan Project and later as director of Argonne National Laboratory.
  • 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_69ca832461e88190a654c5e44e233aa8 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe74f62148190bfd6cacf5d4f74b6 completed March 31, 2026, 3:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69cebb7b60d88190a22ebf69696cd8e5 completed April 2, 2026, 6:54 p.m.
Created at: March 30, 2026, 6:19 p.m.