Triple

T4666843
Position Surface form Disambiguated ID Type / Status
Subject Liar Liar E102865 entity
Predicate editedBy P1954 FINISHED
Object Don Zimmerman E109534 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: Don Zimmerman | Statement: [Liar Liar, editedBy, Don Zimmerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Zimmerman
Context triple: [Liar Liar, editedBy, Don Zimmerman]
  • A. Don Zimmerman chosen
    Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
  • B. David Zuckerman
    David Zuckerman is an American television producer and writer best known for his work on animated comedy series, including helping develop and produce the hit show Family Guy.
  • C. John Eisendrath
    John Eisendrath is a television writer and producer best known for his work on series such as "The Blacklist" and "Alias."
  • D. Gene Zabel
    Gene Zabel is a notable individual associated with the city of Wahoo in Nebraska, United States.
  • E. David Zimmerman
    David Zimmerman is an American record producer best known for his work on Bob Dylan’s acclaimed album "Blood on the Tracks."
  • 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_69bd43d9cba4819086c1ab1c2d9d2133 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd633d87788190a3c8946ed6995062 completed March 20, 2026, 3:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69be104a596c8190903c208c892da186 completed March 21, 2026, 3:28 a.m.
Created at: March 20, 2026, 1:15 p.m.