Triple

T7451765
Position Surface form Disambiguated ID Type / Status
Subject Disenchanted E172023 entity
Predicate editedBy P1954 FINISHED
Object Chris Lebenzon E50804 NE FINISHED

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: Chris Lebenzon | Statement: [Disenchanted, editedBy, Chris Lebenzon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Chris Lebenzon
Context triple: [Disenchanted, editedBy, Chris Lebenzon]
  • A. Chris Lebenzon chosen
    Chris Lebenzon is an American film editor known for his long-time collaborations with directors like Tim Burton and Tony Scott on major Hollywood films.
  • B. Sam Zussman
    Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
  • C. Michael Hecht
    Michael Hecht is the birth name of Michael Howard, a British Conservative politician who served as Leader of the Opposition and Home Secretary.
  • D. Michael Hecht
    Michael Hecht is a scientist best known for leading NASA’s MOXIE experiment on the Perseverance rover, which demonstrates in-situ oxygen production on Mars.
  • E. Martin Weinberg
    Martin Weinberg is a sociologist known for his influential research on human sexuality, sexual deviance, and the social construction of sexual norms.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68a66554c8190add75c65942c0317 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f38d6a8c8190af2e73c719da87a6 completed March 27, 2026, 9:15 p.m.
NED1 Entity disambiguation (via context triple) batch_69c941fcac908190a2e9401f136b5f77 completed March 29, 2026, 3:15 p.m.
Created at: March 27, 2026, 3:14 p.m.