Triple

T3407095
Position Surface form Disambiguated ID Type / Status
Subject Selina Meyer E71799 entity
Predicate hasAdvisor P25349 FINISHED
Object Dan Egan
Dan Egan is an ambitious, fast-talking political operative and campaign strategist on the television series "Veep."
 E450975 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: Dan Egan | Statement: [Selina Meyer, hasAdvisor, Dan Egan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dan Egan
Context triple: [Selina Meyer, hasAdvisor, Dan Egan]
  • A. Ed Vargo
    Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
  • B. Jeff Gourson
    Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
  • C. Dan Gordon
    Dan Gordon is an American screenwriter known for his work on films such as "The Hurricane" and "Wyatt Earp."
  • D. Dave Keuning
    Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
  • E. Jeff Danna
    Jeff Danna is a Canadian film composer known for his scores for movies such as The Boondock Saints and various animated and dramatic films.
  • 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: Dan Egan
Triple: [Selina Meyer, hasAdvisor, Dan Egan]
Generated description
Dan Egan is an ambitious, fast-talking political operative and campaign strategist on the television series "Veep."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dan Egan
Target entity description: Dan Egan is an ambitious, fast-talking political operative and campaign strategist on the television series "Veep."
  • A. Ed Vargo
    Ed Vargo was a prominent Major League Baseball umpire who worked in the National League for over two decades and officiated multiple World Series and All-Star Games.
  • B. Jeff Gourson
    Jeff Gourson is a film editor known for his work on movies such as the comedy "White Chicks."
  • C. Dan Gordon
    Dan Gordon is an American screenwriter known for his work on films such as "The Hurricane" and "Wyatt Earp."
  • D. Dave Keuning
    Dave Keuning is an American guitarist and songwriter best known as the lead guitarist and a founding member of the rock band The Killers.
  • E. Jeff Danna
    Jeff Danna is a Canadian film composer known for his scores for movies such as The Boondock Saints and various animated and dramatic films.
  • 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_69ad85ac312481909e7027ced1456a9f completed March 8, 2026, 2:20 p.m.
NER Named-entity recognition batch_69adb8ede9c48190b13b0f5e7474e7fa completed March 8, 2026, 5:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69bdacbe49ac81908f014539a1147a4f completed March 20, 2026, 8:23 p.m.
NEDg Description generation batch_69bdb31f41248190977721cc67040df7 completed March 20, 2026, 8:50 p.m.
NED2 Entity disambiguation (via description) batch_69bdb37017d081908d33528dc0d98fff completed March 20, 2026, 8:52 p.m.
Created at: March 8, 2026, 3:15 p.m.