Triple

T11121268
Position Surface form Disambiguated ID Type / Status
Subject Life with Lucy E263020 entity
Predicate character P662 FINISHED
Object Ted McGibbon E918500 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: Ted McGibbon | Statement: [Life with Lucy, character, Ted McGibbon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ted McGibbon
Context triple: [Life with Lucy, character, Ted McGibbon]
  • A. Ted McGibbon chosen
    Ted McGibbon is a fictional character portrayed by actor Larry Anderson, likely appearing in a television series or film.
  • B. Ed McHugh
    Ed McHugh is a relative of American character actor Frank McHugh, who was known for his prolific work in early 20th-century film and theater.
  • C. Ed McCauley
    Ed McCauley is a Canadian academic and research leader who serves as president of the University of Calgary.
  • D. Bill McGowan
    Bill McGowan was a prominent American Major League Baseball umpire renowned for his long career, authoritative style, and induction into the Baseball Hall of Fame.
  • E. Ray McKinnon
    Ray McKinnon is an American actor, writer, producer, and director known for his character roles in film and television and for creating the acclaimed series "Rectify."
  • 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_69d6aa9b46cc8190b19f9f0cc45bf322 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d79af911b881908168f23a4918231c completed April 9, 2026, 12:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5d2f0f7948190b921c9308489f676 completed April 20, 2026, 7:17 a.m.
Created at: April 8, 2026, 9:28 p.m.