Triple

T20126205
Position Surface form Disambiguated ID Type / Status
Subject Trixter E490762 entity
Predicate hasMember P10 FINISHED
Object Phil Arntz
Phil Arntz is a member of the visual effects and animation company Trixter, contributing to its creative production work.
E1419175 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: Phil Arntz | Statement: [Trixter, hasMember, Phil Arntz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phil Arntz
Context triple: [Trixter, hasMember, Phil Arntz]
  • A. Ray Heindorf
    Ray Heindorf was an American composer, arranger, and musical director best known for his work on numerous Hollywood film scores during the mid-20th century.
  • B. Darren Lemke
    Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
  • C. Carl Broemel
    Carl Broemel is an American guitarist, singer-songwriter, and multi-instrumentalist best known as a longtime member of the rock band My Morning Jacket.
  • D. Alex Herron
    Alex Herron is a Norwegian music video and film director known for his work on numerous pop and rock videos as well as genre films.
  • E. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • 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: Phil Arntz
Triple: [Trixter, hasMember, Phil Arntz]
Generated description
Phil Arntz is a member of the visual effects and animation company Trixter, contributing to its creative production work.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Phil Arntz
Target entity description: Phil Arntz is a member of the visual effects and animation company Trixter, contributing to its creative production work.
  • A. Ray Heindorf
    Ray Heindorf was an American composer, arranger, and musical director best known for his work on numerous Hollywood film scores during the mid-20th century.
  • B. Darren Lemke
    Darren Lemke is an American screenwriter and film producer known for working on fantasy and adventure films such as Jack the Giant Slayer and the Goosebumps movie adaptation.
  • C. Carl Broemel
    Carl Broemel is an American guitarist, singer-songwriter, and multi-instrumentalist best known as a longtime member of the rock band My Morning Jacket.
  • D. Alex Herron
    Alex Herron is a Norwegian music video and film director known for his work on numerous pop and rock videos as well as genre films.
  • E. Ken Schretzmann
    Ken Schretzmann is a film editor known for his work on major animated features, including Guillermo del Toro's stop-motion adaptation of Pinocchio.
  • 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_6a084b77cefc81909df8fd5bd28e0bb9 completed May 16, 2026, 10:48 a.m.
NEDg Description generation batch_6a084c17a0808190a6ea7ea52246be8b completed May 16, 2026, 10:51 a.m.
NED2 Entity disambiguation (via description) batch_6a084cf11ff8819086138489b9645c75 completed May 16, 2026, 10:54 a.m.
Created at: April 11, 2026, 11:31 p.m.