Triple

T18755478
Position Surface form Disambiguated ID Type / Status
Subject Being John Malkovich E458636 entity
Predicate featuresCharacter P626 FINISHED
Object Craig Schwartz 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: Craig Schwartz | Statement: [Being John Malkovich, featuresCharacter, Craig Schwartz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Craig Schwartz
Context triple: [Being John Malkovich, featuresCharacter, Craig Schwartz]
  • A. Craig Schwartz chosen
    Craig Schwartz is the eccentric, struggling puppeteer and protagonist of the surreal comedy film "Being John Malkovich."
  • B. Kenny Schwartz
    Kenny Schwartz is an American television writer and producer best known for his work on sitcoms, including co-creating the series "Two Guys, a Girl and a Pizza Place."
  • C. Rick Schwartz
    Rick Schwartz is an American film producer known for his work on independent and studio-backed movies, including the psychological thriller "Black Swan."
  • D. Scott Scherr
    Scott Scherr is an American entrepreneur best known as the founder and longtime CEO of the human capital management software company Ultimate Software.
  • E. Mike Schuler
    Mike Schuler is an American basketball coach best known for his successful tenure as head coach of the Portland Trail Blazers in the late 1980s.
  • 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_69d8d395dba0819087568404508590cb completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e579f084208190a4b3563d47154e69 completed April 20, 2026, 12:57 a.m.
Created at: April 10, 2026, 11:51 a.m.