Triple

T22716411
Position Surface form Disambiguated ID Type / Status
Subject Mom and Dad (2017 film) E561743 entity
Predicate producer P490 FINISHED
Object Christopher Lemole 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: Christopher Lemole | Statement: [Mom and Dad (2017 film), producer, Christopher Lemole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christopher Lemole
Context triple: [Mom and Dad (2017 film), producer, Christopher Lemole]
  • A. Christopher Lemole chosen
    Christopher Lemole is a film producer known for his work on independent movies, including the acclaimed adventure drama "The Peanut Butter Falcon."
  • B. Chris Lemmon
    Chris Lemmon is an American actor and author, known for his work in film and television and for being the son of acclaimed actor Jack Lemmon.
  • C. Eric Lamonsoff
    Eric Lamonsoff is a bumbling yet big-hearted family man and close friend of Lenny Feder in the Grown Ups comedy film series.
  • D. James LeGros
    James LeGros is an American character actor known for his work in independent films and television, including roles in projects like "Drugstore Cowboy," "Ally McBeal," and "Justified."
  • E. Anthony Lemke
    Anthony Lemke is a Canadian actor best known for his role as the roguish mercenary Three in the science fiction television series "Dark Matter."
  • 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_69e2454fc984819088213b58ee87a002 completed April 17, 2026, 2:35 p.m.
NER Named-entity recognition batch_69f1790e14c88190af6acb27910ae9c1 completed April 29, 2026, 3:20 a.m.
Created at: April 17, 2026, 3:19 p.m.