Triple

T13125506
Position Surface form Disambiguated ID Type / Status
Subject Runaway Train E311833 entity
Predicate castMember P1668 FINISHED
Object Kyle T. Heffner
Kyle T. Heffner is an American character actor known for supporting roles in films and television since the 1980s.
E1023522 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: Kyle T. Heffner | Statement: [Runaway Train, castMember, Kyle T. Heffner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kyle T. Heffner
Context triple: [Runaway Train, castMember, Kyle T. Heffner]
  • A. Kyle B. O’Boyle
    Kyle B. O’Boyle is a comedic UPS delivery man character in the Broadway musical "Legally Blonde," known for his flirtatious charm and memorable entrance.
  • B. Kevin Burkhardt
    Kevin Burkhardt is an American sportscaster best known as a play-by-play announcer and studio host for major MLB and NFL broadcasts on Fox.
  • C. Jeffrey Heath
    Jeffrey Heath is a linguist renowned for his extensive fieldwork and documentation of Dogon and other African languages.
  • 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. W. Blake Herron
    W. Blake Herron was an American screenwriter best known for co-writing the hit espionage thriller film "The Bourne Identity."
  • 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: Kyle T. Heffner
Triple: [Runaway Train, castMember, Kyle T. Heffner]
Generated description
Kyle T. Heffner is an American character actor known for supporting roles in films and television since the 1980s.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kyle T. Heffner
Target entity description: Kyle T. Heffner is an American character actor known for supporting roles in films and television since the 1980s.
  • A. Kyle B. O’Boyle
    Kyle B. O’Boyle is a comedic UPS delivery man character in the Broadway musical "Legally Blonde," known for his flirtatious charm and memorable entrance.
  • B. Kevin Burkhardt
    Kevin Burkhardt is an American sportscaster best known as a play-by-play announcer and studio host for major MLB and NFL broadcasts on Fox.
  • C. Jeffrey Heath
    Jeffrey Heath is a linguist renowned for his extensive fieldwork and documentation of Dogon and other African languages.
  • 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. W. Blake Herron
    W. Blake Herron was an American screenwriter best known for co-writing the hit espionage thriller film "The Bourne Identity."
  • 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_69d806a9fe888190b081e2d9ea665d6c completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d9819946808190b41335fb1054accd completed April 10, 2026, 11:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6eade84f881909d5db24bc5c6e072 completed May 3, 2026, 6:27 a.m.
NEDg Description generation batch_69f6ebfc072c8190a8bcc1548301c5c8 completed May 3, 2026, 6:32 a.m.
NED2 Entity disambiguation (via description) batch_69f6ec901d68819092eb1d8ddf3317fa completed May 3, 2026, 6:34 a.m.
Created at: April 9, 2026, 9:07 p.m.