Triple

T16569013
Position Surface form Disambiguated ID Type / Status
Subject A Walk in the Clouds E402534 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: [A Walk in the Clouds, editedBy, Don Zimmerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Don Zimmerman
Context triple: [A Walk in the Clouds, 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. Dean Zimmerman
    Dean Zimmerman is an American philosopher best known for his work in metaphysics, particularly on the nature of time, persistence, and the philosophy of religion.
  • E. 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.
  • 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_69d8838648088190acf97ef11fc3f61b completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e35773c00c819091731bebc02a69bb completed April 18, 2026, 10:05 a.m.
NED1 Entity disambiguation (via context triple) batch_6a00aae920588190b2a6b03ab1100346 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:16 a.m.