Triple

T10470583
Position Surface form Disambiguated ID Type / Status
Subject Dante's Peak E246911 entity
Predicate castMember P1668 FINISHED
Object Kirk Trutner
Kirk Trutner is an American actor best known for his supporting role in the 1997 disaster film "Dante's Peak."
E908238 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: Kirk Trutner | Statement: [Dante's Peak, castMember, Kirk Trutner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kirk Trutner
Context triple: [Dante's Peak, castMember, Kirk Trutner]
  • A. Kirk Stievely
    Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
  • B. Steve Traxler
    Steve Traxler is a theater and film producer best known for his work on the acclaimed stage and screen versions of "August: Osage County."
  • C. Kirk DeMicco
    Kirk DeMicco is an American screenwriter and film director best known for his work on animated features such as "The Croods."
  • D. Kevin Nolting
    Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
  • E. Chris Stolte
    Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
  • 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: Kirk Trutner
Triple: [Dante's Peak, castMember, Kirk Trutner]
Generated description
Kirk Trutner is an American actor best known for his supporting role in the 1997 disaster film "Dante's Peak."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kirk Trutner
Target entity description: Kirk Trutner is an American actor best known for his supporting role in the 1997 disaster film "Dante's Peak."
  • A. Kirk Stievely
    Kirk Stievely is a British actor best known as the former husband of actress Victoria Tennant.
  • B. Steve Traxler
    Steve Traxler is a theater and film producer best known for his work on the acclaimed stage and screen versions of "August: Osage County."
  • C. Kirk DeMicco
    Kirk DeMicco is an American screenwriter and film director best known for his work on animated features such as "The Croods."
  • D. Kevin Nolting
    Kevin Nolting is an American film editor best known for his work on Pixar animated features, including the Academy Award-winning film "Up."
  • E. Chris Stolte
    Chris Stolte is a computer scientist and entrepreneur best known as a co-founder and former chief development officer of the data visualization company Tableau Software.
  • 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_69d381c16c248190a2fe5b471e584e9c completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d509305fec81908b1acd91ae1f875d completed April 7, 2026, 1:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69e462472ed88190a76b04157c235c80 completed April 19, 2026, 5:04 a.m.
NEDg Description generation batch_69e46c3448348190b2c062d21771066d completed April 19, 2026, 5:46 a.m.
NED2 Entity disambiguation (via description) batch_69e46dadbc5c8190b41279a05731dc95 completed April 19, 2026, 5:52 a.m.
Created at: April 6, 2026, 12:20 p.m.