Triple

T10527170
Position Surface form Disambiguated ID Type / Status
Subject Patch Adams E248334 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: [Patch Adams, editedBy, Don Zimmerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Zimmerman
Context triple: [Patch Adams, 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. Gil Zimmerman
    Gil Zimmerman is a cinematographer best known for his work on the animated feature film "Monsters vs. Aliens."
  • C. Dean Zimmerman
    Dean Zimmerman is an American film editor known for his work on major Hollywood action and science-fiction films.
  • D. Henry Zimmerman
    Henry Zimmerman, better known as Heinie Zimmerman, was an early 20th-century American Major League Baseball player noted for his strong hitting and controversial role in a game-fixing scandal.
  • E. John Zinman
    John Zinman is a film and television screenwriter best known for co-writing the action-adventure movie "Lara Croft: Tomb Raider."
  • 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_69d381c5c7448190bec34bee7ec72bac completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509f5ec348190875c8c877e70ba4a completed April 7, 2026, 1:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69deb055648c819085d36458847926b4 completed April 14, 2026, 9:23 p.m.
Created at: April 6, 2026, 12:29 p.m.