Triple

T18333980
Position Surface form Disambiguated ID Type / Status
Subject Vernon Wells E439218 entity
Predicate workedWith P398 FINISHED
Object Mark L. Lester 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 L. Lester | Statement: [Vernon Wells, workedWith, Mark L. Lester]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mark L. Lester
Context triple: [Vernon Wells, workedWith, Mark L. Lester]
  • A. Mark L. Lester chosen
    Mark L. Lester is an American film director and producer best known for his work on 1980s action and genre films, including the cult classic "Commando."
  • B. David V. Lester
    David V. Lester is a film producer best known for his work on major Hollywood features such as the basketball drama "Blue Chips."
  • C. Stephen F. Martin
    Stephen F. Martin is an American organic chemist renowned for his influential research in synthetic methodology and complex molecule synthesis.
  • D. Mark Lerner
    Mark Lerner is an American businessman best known as a principal owner of the Washington Nationals Major League Baseball team and the son of real estate magnate Ted Lerner.
  • E. Ken Lerner
    Ken Lerner is an American character actor known for his numerous film and television roles, often portraying nervous or officious professionals.
  • 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_69d8b9175fec8190af865699b4e64d8c completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e50ecbc76c8190a80c0c8c8bce1cbd completed April 19, 2026, 5:20 p.m.
Created at: April 10, 2026, 10:36 a.m.