Triple

T3342595
Position Surface form Disambiguated ID Type / Status
Subject Turner & Hooch E70292 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: [Turner & Hooch, editedBy, Don Zimmerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Zimmerman
Context triple: [Turner & Hooch, 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. David Zimmerman
    David Zimmerman is an American record producer best known for his work on Bob Dylan’s acclaimed album "Blood on the Tracks."
  • E. Sam Zussman
    Sam Zussman is a sports and media executive who serves as a top business leader for the NBA’s Brooklyn Nets organization.
  • 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_69ad85a405e48190b6e68de7cf9f319e completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb1ee711481909c0d921f1b5b8562 completed March 8, 2026, 5:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5f580e2488190bce70398502e11d4 completed March 14, 2026, 11:55 p.m.
Created at: March 8, 2026, 3:12 p.m.