Triple

T21292423
Position Surface form Disambiguated ID Type / Status
Subject John Litel E524829 entity
Predicate name P16 FINISHED
Object John Litel 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: John Litel | Statement: [John Litel, name, John Litel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Litel
Context triple: [John Litel, name, John Litel]
  • A. John Litel chosen
    John Litel was an American character actor known for his prolific work in Hollywood films from the 1930s through the 1960s, often appearing in supporting roles as authority figures such as lawyers, politicians, and fathers.
  • B. Lester Melroe
    Lester Melroe was an American inventor and entrepreneur best known for developing the compact skid-steer loader that led to the creation of the Bobcat brand.
  • C. Charlie Wachtel
    Charlie Wachtel is an American screenwriter best known for co-writing the Academy Award–winning film "BlacKkKlansman."
  • D. Bill Sackter
    Bill Sackter was a developmentally disabled man whose life story of institutionalization, friendship, and late-in-life independence became widely known through the film "Bill" and helped change public perceptions of people with disabilities.
  • E. J. G. Hertzler
    J. G. Hertzler is an American actor best known for his character roles in film and television, particularly in the Star Trek franchise.
  • 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_69e0b517e6748190850d6f6ddf323d69 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e73855e5d08190aed5e285247b4e23 completed April 21, 2026, 8:41 a.m.
Created at: April 16, 2026, 4:04 p.m.