Triple

T20126198
Position Surface form Disambiguated ID Type / Status
Subject Trixter E490762 entity
Predicate hasMember P10 FINISHED
Object Jim Scott
Jim Scott is a member of the visual effects company Trixter, contributing to its film and media production work.
E1431213 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: Jim Scott | Statement: [Trixter, hasMember, Jim Scott]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jim Scott
Context triple: [Trixter, hasMember, Jim Scott]
  • A. Don D. Scott
    Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
  • B. Jeff Cunningham
    Jeff Cunningham is a former professional soccer forward best known as one of Major League Soccer’s most prolific goal scorers.
  • C. Doug McCombs
    Doug McCombs is an American bassist and guitarist best known as a founding member of the Chicago post-rock band Tortoise and for his work in groups like Brokeback and Eleventh Dream Day.
  • D. Steve Pegram
    Steve Pegram is a film producer known for his work on the animated feature "Chicken Run: Dawn of the Nugget."
  • E. Jim McCormick
    Jim McCormick was a 19th-century Major League Baseball pitcher known for his durability and effectiveness, particularly during his tenure with teams like the Cleveland Blues.
  • 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: Jim Scott
Triple: [Trixter, hasMember, Jim Scott]
Generated description
Jim Scott is a member of the visual effects company Trixter, contributing to its film and media production work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jim Scott
Target entity description: Jim Scott is a member of the visual effects company Trixter, contributing to its film and media production work.
  • A. Don D. Scott
    Don D. Scott is an American screenwriter best known for writing the hit comedy film "Barbershop" and its sequel.
  • B. Jeff Cunningham
    Jeff Cunningham is a former professional soccer forward best known as one of Major League Soccer’s most prolific goal scorers.
  • C. Doug McCombs
    Doug McCombs is an American bassist and guitarist best known as a founding member of the Chicago post-rock band Tortoise and for his work in groups like Brokeback and Eleventh Dream Day.
  • D. Steve Pegram
    Steve Pegram is a film producer known for his work on the animated feature "Chicken Run: Dawn of the Nugget."
  • E. Jim McCormick
    Jim McCormick was a 19th-century Major League Baseball pitcher known for his durability and effectiveness, particularly during his tenure with teams like the Cleveland Blues.
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e6674223008190827c454fe7ac86f4 completed April 20, 2026, 5:49 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0883e065748190b2a34d8e4cc0d5d5 completed May 16, 2026, 2:49 p.m.
NEDg Description generation batch_6a08858befec819097cbe432a8b41b1b completed May 16, 2026, 2:56 p.m.
NED2 Entity disambiguation (via description) batch_6a0886140858819088f0b09a9903dada completed May 16, 2026, 2:58 p.m.
Created at: April 11, 2026, 11:31 p.m.