Triple

T14710095
Position Surface form Disambiguated ID Type / Status
Subject The Muppet Movie E345525 entity
Predicate producer P490 FINISHED
Object David Lazer
David Lazer was a film and television producer best known for his work with Jim Henson and The Muppets.
 E1115074 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 Lazer | Statement: [The Muppet Movie, producer, David Lazer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: David Lazer
Context triple: [The Muppet Movie, producer, David Lazer]
  • A. David Lanzenberg
    David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
  • B. Carl T. Bergstrom
    Carl T. Bergstrom is an American biologist and professor at the University of Washington known for his work on scientific communication, network theory, and the development of metrics for evaluating scholarly impact.
  • C. Chris Wiggins
    Chris Wiggins is a Canadian actor best known for his extensive work in television, film, and voice acting, including roles in series such as "Friday the 13th: The Series."
  • D. David T. Wagner
    David T. Wagner is a screenwriter best known for co-writing the college comedy film "Van Wilder."
  • E. Isaac Z. Schlueter
    Isaac Z. Schlueter is a software engineer and entrepreneur best known for founding npm, the widely used package manager for the Node.js ecosystem.
  • 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 Lazer
Triple: [The Muppet Movie, producer, David Lazer]
Generated description
David Lazer was a film and television producer best known for his work with Jim Henson and The Muppets.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: David Lazer
Target entity description: David Lazer was a film and television producer best known for his work with Jim Henson and The Muppets.
  • A. David Lanzenberg
    David Lanzenberg is a film cinematographer known for his work on feature films such as "Paper Towns."
  • B. Carl T. Bergstrom
    Carl T. Bergstrom is an American biologist and professor at the University of Washington known for his work on scientific communication, network theory, and the development of metrics for evaluating scholarly impact.
  • C. Chris Wiggins
    Chris Wiggins is a Canadian actor best known for his extensive work in television, film, and voice acting, including roles in series such as "Friday the 13th: The Series."
  • D. David T. Wagner
    David T. Wagner is a screenwriter best known for co-writing the college comedy film "Van Wilder."
  • E. Isaac Z. Schlueter
    Isaac Z. Schlueter is a software engineer and entrepreneur best known for founding npm, the widely used package manager for the Node.js ecosystem.
  • 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdf08d59b48190a1ddd2aed6ed756e completed May 8, 2026, 2:17 p.m.
NEDg Description generation batch_69fdf2728df881909609d4e6177c7841 completed May 8, 2026, 2:25 p.m.
NED2 Entity disambiguation (via description) batch_69fdf30dab20819085589da4e869fb7e completed May 8, 2026, 2:28 p.m.
Created at: April 10, 2026, 1:28 a.m.