Triple

T19359091
Position Surface form Disambiguated ID Type / Status
Subject The Name of the Game E484227 entity
Predicate mainCharacter P1183 FINISHED
Object Jeff Dillon
Jeff Dillon is a fictional private investigator character featured in the 1970s American television series "The Name of the Game."
E1379943 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: Jeff Dillon | Statement: [The Name of the Game, mainCharacter, Jeff Dillon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jeff Dillon
Context triple: [The Name of the Game, mainCharacter, Jeff Dillon]
  • A. Steve Dillon
    Steve Dillon was a British comic book artist best known for co-creating and illustrating the acclaimed series "Preacher."
  • B. J. J. Dillon
    J. J. Dillon is an American professional wrestling manager and executive best known for managing the legendary Four Horsemen stable in the National Wrestling Alliance and World Championship Wrestling.
  • C. Sean Dillon
    Sean Dillon is a former IRA enforcer turned covert operative who serves as the central anti-hero in Jack Higgins' popular thriller novel series.
  • D. P.J. Dillon
    P.J. Dillon is an Irish cinematographer and screenwriter known for his work on films such as the historical drama "Black 47."
  • E. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • 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: Jeff Dillon
Triple: [The Name of the Game, mainCharacter, Jeff Dillon]
Generated description
Jeff Dillon is a fictional private investigator character featured in the 1970s American television series "The Name of the Game."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jeff Dillon
Target entity description: Jeff Dillon is a fictional private investigator character featured in the 1970s American television series "The Name of the Game."
  • A. Steve Dillon
    Steve Dillon was a British comic book artist best known for co-creating and illustrating the acclaimed series "Preacher."
  • B. J. J. Dillon
    J. J. Dillon is an American professional wrestling manager and executive best known for managing the legendary Four Horsemen stable in the National Wrestling Alliance and World Championship Wrestling.
  • C. Sean Dillon
    Sean Dillon is a former IRA enforcer turned covert operative who serves as the central anti-hero in Jack Higgins' popular thriller novel series.
  • D. P.J. Dillon
    P.J. Dillon is an Irish cinematographer and screenwriter known for his work on films such as the historical drama "Black 47."
  • E. Luke Doolan
    Luke Doolan is an Australian film editor and filmmaker best known for his work on acclaimed films such as "Animal Kingdom."
  • 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_69d8e8d305088190ad13571532aa454c completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e6190b343c81909734ba776fd196dc completed April 20, 2026, 12:16 p.m.
NED1 Entity disambiguation (via context triple) batch_6a074709df74819092a86366ecb4b73d completed May 15, 2026, 4:17 p.m.
NEDg Description generation batch_6a0748cae1a08190a470251ce3883972 completed May 15, 2026, 4:24 p.m.
NED2 Entity disambiguation (via description) batch_6a07498d29bc8190bb0eaf903dced2b0 completed May 15, 2026, 4:27 p.m.
Created at: April 10, 2026, 1:34 p.m.