Triple

T18073504
Position Surface form Disambiguated ID Type / Status
Subject The Last Posse E432492 entity
Predicate editedBy P1954 FINISHED
Object Gene Havlick 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: Gene Havlick | Statement: [The Last Posse, editedBy, Gene Havlick]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gene Havlick
Context triple: [The Last Posse, editedBy, Gene Havlick]
  • A. Gene Havlick chosen
    Gene Havlick was an American film editor known for his work on numerous classic Hollywood films, including collaborations on major studio productions in the 1930s and 1940s.
  • B. John Hadl
    John Hadl was an American football quarterback and punter who starred at the University of Kansas before enjoying a long professional career, most notably with the San Diego Chargers in the AFL and NFL.
  • C. Charles Rettig
    Charles Rettig is an American tax attorney who served as the Commissioner of the Internal Revenue Service (IRS) from 2018 to 2022.
  • D. William Poduska
    William Poduska is an American entrepreneur and computer engineer best known for founding multiple influential high-technology companies, including Apollo Computer.
  • E. Harry Sultenfuss
    Harry Sultenfuss is a widowed funeral director and the caring but emotionally reserved father of the young protagonist in the coming-of-age film "My Girl."
  • 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_69d8b9070cac81909fa9473fb1c3f1c7 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ccefcdc4819086d0b224731bfc4d completed April 19, 2026, 12:39 p.m.
Created at: April 10, 2026, 10:26 a.m.