Triple

T13102716
Position Surface form Disambiguated ID Type / Status
Subject Gung Ho E310758 entity
Predicate editor P1954 FINISHED
Object Mike Hill E102705 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: Mike Hill | Statement: [Gung Ho, editor, Mike Hill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mike Hill
Context triple: [Gung Ho, editor, Mike Hill]
  • A. Mike Hill chosen
    Mike Hill was an American film editor best known for his long-time collaboration with director Ron Howard on acclaimed films such as "A Beautiful Mind."
  • B. Mike Hill
    Mike Hill is a collegiate sports administrator who serves as the athletic director for the University of North Carolina at Charlotte’s Charlotte 49ers athletic program.
  • C. Tim Hill
    Tim Hill is an American politician who served as the King County Executive in Washington State.
  • D. Tim Hill
    Tim Hill is an American film director and screenwriter best known for family-oriented live-action and animated movies such as "Hop," "Alvin and the Chipmunks," and "The SpongeBob SquarePants Movie."
  • E. Kevin Hill
    Kevin Hill is an American legal drama television series centered on a high-powered New York attorney whose life changes when he becomes the guardian of his cousin's baby.
  • 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_69d806a872d08190a329806f8ff30df4 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98153255c8190b6ab64ac0c4716f8 completed April 10, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6d61d88888190bfc631b759f14598 completed May 3, 2026, 4:59 a.m.
Created at: April 9, 2026, 9:04 p.m.