Triple

T20389342
Position Surface form Disambiguated ID Type / Status
Subject A Good Day to Die Hard E498043 entity
Predicate editor P1954 FINISHED
Object Dan Zimmerman
Dan Zimmerman is a film editor known for his work on major Hollywood action movies.
E1430692 NE FINISHED

How this triple was built (4 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: Dan Zimmerman | Statement: [A Good Day to Die Hard, editor, Dan Zimmerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Zimmerman
Context triple: [A Good Day to Die Hard, editor, Dan Zimmerman]
  • A. Don Zimmerman
    Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
  • B. Eric Zimmerman
    Eric Zimmerman is a filmmaker and music video director known for creating visually distinctive videos for alternative and rock artists.
  • C. David Zettner
    David Zettner is a musician best known as a member of Willie Nelson’s longtime backing group, The Family.
  • 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. Dean Zimmerman
    Dean Zimmerman is an American film editor known for his work on major Hollywood action and science-fiction films.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Dan Zimmerman
Triple: [A Good Day to Die Hard, editor, Dan Zimmerman]
Generated description
Dan Zimmerman is a film editor known for his work on major Hollywood action movies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan Zimmerman
Target entity description: Dan Zimmerman is a film editor known for his work on major Hollywood action movies.
  • A. Don Zimmerman
    Don Zimmerman is a film editor known for his work on major Hollywood movies, including the family adventure-comedy "Night at the Museum."
  • B. Eric Zimmerman
    Eric Zimmerman is a filmmaker and music video director known for creating visually distinctive videos for alternative and rock artists.
  • C. David Zettner
    David Zettner is a musician best known as a member of Willie Nelson’s longtime backing group, The Family.
  • 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. Dean Zimmerman
    Dean Zimmerman is an American film editor known for his work on major Hollywood action and science-fiction films.
  • F. None of above. chosen

Provenance (5 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790e65a081909832855758fffd14 completed April 20, 2026, 7:05 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0883ea99fc8190a554e095d2c3422f completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a0884c182548190bdb6f43f99d2a005 completed May 16, 2026, 2:52 p.m.
NED2 Entity disambiguation (via description) batch_6a088565cbcc81909b4bbc286d272ef6 completed May 16, 2026, 2:55 p.m.
Created at: April 16, 2026, 11:28 a.m.