Triple

T20949576
Position Surface form Disambiguated ID Type / Status
Subject Justice League: Crisis on Two Earths E515942 entity
Predicate voiceActor P1507 FINISHED
Object Mark Harmon NE NERFINISHED

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: Mark Harmon | Statement: [Justice League: Crisis on Two Earths, voiceActor, Mark Harmon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark Harmon
Context triple: [Justice League: Crisis on Two Earths, voiceActor, Mark Harmon]
  • A. Mark Harmon chosen
    Mark Harmon is an American actor best known for his long-running role as Special Agent Leroy Jethro Gibbs on the television series NCIS.
  • B. Dylan McDermott
    Dylan McDermott is an American actor best known for his roles in the legal drama "The Practice" and the anthology series "American Horror Story."
  • C. Gregg Henry
    Gregg Henry is an American character actor and musician known for his prolific work in film and television, often portraying intense or villainous roles.
  • D. Leo Willis
    Leo Willis was an American character actor active during the silent and early sound film eras, often appearing in comedies alongside stars like Harold Lloyd.
  • E. Dennis Haysbert
    Dennis Haysbert is an American actor known for his deep voice and prominent roles in film and television, including "24," "Major League," and numerous commercial campaigns.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fadc08148190b4ff710f94462a26 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:18 p.m.