Triple

T1207725
Position Surface form Disambiguated ID Type / Status
Subject Man of Steel E25926 entity
Predicate editedBy P1954 FINISHED
Object David Brenner
David Brenner was an American film editor known for his work on major Hollywood blockbusters, including several of director Zack Snyder’s films.
E236325 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: David Brenner | Statement: [Man of Steel, editedBy, David Brenner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Brenner
Context triple: [Man of Steel, editedBy, David Brenner]
  • A. Nick Frenkel
    Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
  • B. Dan Lebental
    Dan Lebental is an American film editor best known for his long-time collaboration with director Jon Favreau on major studio films such as the Iron Man series.
  • C. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • D. Neil Meron
    Neil Meron is an American film and television producer best known for his work on acclaimed musical adaptations and award-winning projects such as "Chicago."
  • E. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • 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: David Brenner
Triple: [Man of Steel, editedBy, David Brenner]
Generated description
David Brenner was an American film editor known for his work on major Hollywood blockbusters, including several of director Zack Snyder’s films.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: David Brenner
Target entity description: David Brenner was an American film editor known for his work on major Hollywood blockbusters, including several of director Zack Snyder’s films.
  • A. Nick Frenkel
    Nick Frenkel is a television producer best known for his work as an executive producer on the long-running comedy series "It's Always Sunny in Philadelphia."
  • B. Dan Lebental
    Dan Lebental is an American film editor best known for his long-time collaboration with director Jon Favreau on major studio films such as the Iron Man series.
  • C. Michael Klein
    Michael Klein is the father of Canadian author and activist Naomi Klein.
  • D. Neil Meron
    Neil Meron is an American film and television producer best known for his work on acclaimed musical adaptations and award-winning projects such as "Chicago."
  • E. Jon Rubinstein
    Jon Rubinstein is an American computer engineer and executive best known for his key role in developing Apple's iPod and later leading Palm as CEO.
  • 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_69a4942b30f08190a91c60573e16b5ef completed March 1, 2026, 7:31 p.m.
NER Named-entity recognition batch_69a4bdc483b481908e5bfef5d2f4fc5a completed March 1, 2026, 10:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69ae51572d808190b6e2e7a8a3b597f0 completed March 9, 2026, 4:49 a.m.
NEDg Description generation batch_69ae521c7810819086b88bb5f062597e completed March 9, 2026, 4:52 a.m.
NED2 Entity disambiguation (via description) batch_69ae52e79c788190bbe6eb5baba08a71 completed March 9, 2026, 4:56 a.m.
Created at: March 1, 2026, 7:46 p.m.