Triple

T10453360
Position Surface form Disambiguated ID Type / Status
Subject The Maze Runner E246488 entity
Predicate editedBy P1954 FINISHED
Object Dan Zimmerman
Dan Zimmerman is a film editor best known for his work on the science fiction action film "The Maze Runner."
E527086 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: [The Maze Runner, editedBy, Dan Zimmerman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dan Zimmerman
Context triple: [The Maze Runner, editedBy, 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. Dean Zimmerman
    Dean Zimmerman is an American film editor known for his work on major Hollywood action and science-fiction films.
  • D. Gil Zimmerman
    Gil Zimmerman is a cinematographer best known for his work on the animated feature film "Monsters vs. Aliens."
  • E. Paul Zimmerer
    Paul Zimmerer was an American entrepreneur best known as the founder of Lindsay Corporation, a major manufacturer of agricultural irrigation and infrastructure equipment.
  • 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: [The Maze Runner, editedBy, Dan Zimmerman]
Generated description
Dan Zimmerman is a film editor best known for his work on the science fiction action film "The Maze Runner."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Dan Zimmerman
Target entity description: Dan Zimmerman is a film editor best known for his work on the science fiction action film "The Maze Runner."
  • 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. Dean Zimmerman chosen
    Dean Zimmerman is an American film editor known for his work on major Hollywood action and science-fiction films.
  • D. Gil Zimmerman
    Gil Zimmerman is a cinematographer best known for his work on the animated feature film "Monsters vs. Aliens."
  • E. Paul Zimmerer
    Paul Zimmerer was an American entrepreneur best known as the founder of Lindsay Corporation, a major manufacturer of agricultural irrigation and infrastructure equipment.
  • F. None of above.

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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fe0d73d48190acb687b96918e0cf completed April 7, 2026, 12:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69d9987838ac8190a6ba09305fc27621 completed April 11, 2026, 12:40 a.m.
NEDg Description generation batch_69d99e8312188190bec3090f34a7b9b9 completed April 11, 2026, 1:06 a.m.
NED2 Entity disambiguation (via description) batch_69d99f50e0888190b8e7b2547e1526af completed April 11, 2026, 1:09 a.m.
Created at: April 6, 2026, 12:17 p.m.