Triple

T18685164
Position Surface form Disambiguated ID Type / Status
Subject Voyagers E456841 entity
Predicate producer P490 FINISHED
Object Thad Luckinbill 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: Thad Luckinbill | Statement: [Voyagers, producer, Thad Luckinbill]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thad Luckinbill
Context triple: [Voyagers, producer, Thad Luckinbill]
  • A. Thad Luckinbill chosen
    Thad Luckinbill is an American actor and film producer known for roles on "The Young and the Restless" and for producing acclaimed films such as "Sicario."
  • B. John McKissick
    John McKissick was a legendary American high school football coach, best known for becoming the winningest coach in football history during his long tenure at Summerville High School in South Carolina.
  • C. John H. Skeen Jr.
    John H. Skeen Jr. was an American attorney best known for serving as defense counsel in the World War II-era court-martial of General Minoru “Ben” Homma.
  • D. John Milledge
    John Milledge was an American politician and statesman who served as governor of Georgia and a U.S. congressman in the early 19th century.
  • E. James L. Wilmeth
    James L. Wilmeth was an American government official who served as a senior federal financial administrator in the early 20th century.
  • 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_69d8d391eb488190ac2e9abf5bf255e4 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e55b2c58188190b906c9ab080a76ff completed April 19, 2026, 10:46 p.m.
Created at: April 10, 2026, 11:49 a.m.