Triple

T19505441
Position Surface form Disambiguated ID Type / Status
Subject Project Power E488008 entity
Predicate screenwriter P2831 FINISHED
Object Mattson Tomlin
Mattson Tomlin is a screenwriter and filmmaker known for his work on high-concept genre films and collaborations on major comic book and sci-fi projects.
E1379973 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: Mattson Tomlin | Statement: [Project Power, screenwriter, Mattson Tomlin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mattson Tomlin
Context triple: [Project Power, screenwriter, Mattson Tomlin]
  • A. John Mattson
    John Mattson is an American screenwriter best known for his work on the 1994 family comedy film "Milk Money."
  • B. Eric Tomlinson
    Eric Tomlinson, better known as Ricky Tomlinson, is an English actor and comedian famed for his role as Jim Royle in the television sitcom "The Royle Family."
  • C. Steve Tumlin
    Steve Tumlin is an American politician who serves as the mayor of Marietta, Georgia.
  • D. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • E. Scott Dolson
    Scott Dolson is the athletic director at Indiana University, overseeing the Hoosiers’ athletic programs and their strategic direction.
  • 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: Mattson Tomlin
Triple: [Project Power, screenwriter, Mattson Tomlin]
Generated description
Mattson Tomlin is a screenwriter and filmmaker known for his work on high-concept genre films and collaborations on major comic book and sci-fi projects.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Mattson Tomlin
Target entity description: Mattson Tomlin is a screenwriter and filmmaker known for his work on high-concept genre films and collaborations on major comic book and sci-fi projects.
  • A. John Mattson
    John Mattson is an American screenwriter best known for his work on the 1994 family comedy film "Milk Money."
  • B. Eric Tomlinson
    Eric Tomlinson, better known as Ricky Tomlinson, is an English actor and comedian famed for his role as Jim Royle in the television sitcom "The Royle Family."
  • C. Steve Tumlin
    Steve Tumlin is an American politician who serves as the mayor of Marietta, Georgia.
  • D. Keith Tomlins
    Keith Tomlins is a former English cricketer best known for playing as a right-handed batsman for Middlesex and Gloucestershire during the late 1970s and 1980s.
  • E. Kevin Hageman
    Kevin Hageman is an American screenwriter and producer known for his work on animated and family films and television series, including contributions to The Lego Movie franchise.
  • 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_69d8e8d9d1c88190b01cd78b8be49384 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e635113fdc819098ea0f738d01925c completed April 20, 2026, 2:15 p.m.
NED1 Entity disambiguation (via context triple) batch_6a07471f5348819087a442025b06f27d completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a07485e2e74819086ab5b5099079c81 completed May 15, 2026, 4:22 p.m.
NED2 Entity disambiguation (via description) batch_6a07498d29bc8190bb0eaf903dced2b0 completed May 15, 2026, 4:27 p.m.
Created at: April 10, 2026, 1:40 p.m.