Triple

T2995483
Position Surface form Disambiguated ID Type / Status
Subject Alias E81054 entity
Predicate hasCharacter P2308 FINISHED
Object Michael Vaughn
Michael Vaughn is a fictional CIA handler and love interest of Sydney Bristow in the television series "Alias."
 E315737 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: Michael Vaughn | Statement: [Alias, hasCharacter, Michael Vaughn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Vaughn
Context triple: [Alias, hasCharacter, Michael Vaughn]
  • A. John Dahl
    John Dahl is an American film and television director best known for his stylish neo-noir thrillers such as "Red Rock West" and "The Last Seduction."
  • B. Michael Caton-Jones
    Michael Caton-Jones is a Scottish film director known for works such as "Scandal," "Rob Roy," and "The Jackal."
  • C. Scott Frank
    Scott Frank is an American screenwriter and director known for his work on acclaimed films such as "Out of Sight," "Minority Report," and the series "The Queen's Gambit."
  • D. Matthew Vaughn
    Matthew Vaughn is a British filmmaker and producer known for stylish, fast-paced genre movies such as "Layer Cake," "Kick-Ass," and the "Kingsman" series.
  • E. Paul Haggis
    Paul Haggis is a Canadian screenwriter, producer, and director best known for writing and directing the Academy Award–winning film "Crash" and co-writing "Million Dollar Baby."
  • 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: Michael Vaughn
Triple: [Alias, hasCharacter, Michael Vaughn]
Generated description
Michael Vaughn is a fictional CIA handler and love interest of Sydney Bristow in the television series "Alias."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Vaughn
Target entity description: Michael Vaughn is a fictional CIA handler and love interest of Sydney Bristow in the television series "Alias."
  • A. John Dahl
    John Dahl is an American film and television director best known for his stylish neo-noir thrillers such as "Red Rock West" and "The Last Seduction."
  • B. Michael Caton-Jones
    Michael Caton-Jones is a Scottish film director known for works such as "Scandal," "Rob Roy," and "The Jackal."
  • C. Scott Frank
    Scott Frank is an American screenwriter and director known for his work on acclaimed films such as "Out of Sight," "Minority Report," and the series "The Queen's Gambit."
  • D. Matthew Vaughn
    Matthew Vaughn is a British filmmaker and producer known for stylish, fast-paced genre movies such as "Layer Cake," "Kick-Ass," and the "Kingsman" series.
  • E. Paul Haggis
    Paul Haggis is a Canadian screenwriter, producer, and director best known for writing and directing the Academy Award–winning film "Crash" and co-writing "Million Dollar Baby."
  • 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_69ad8b187fc8819085914d3c9ea3142d completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad99f2e5888190b3346012e2578dab completed March 8, 2026, 3:46 p.m.
NED1 Entity disambiguation (via context triple) batch_69b10908cfe48190bf244d5a3dbc958b completed March 11, 2026, 6:17 a.m.
NEDg Description generation batch_69b10ab5e3488190b2d8c98dd296cbe5 completed March 11, 2026, 6:24 a.m.
NED2 Entity disambiguation (via description) batch_69b10b1664f081909b521ee8dd5954f9 completed March 11, 2026, 6:26 a.m.
Created at: March 8, 2026, 2:59 p.m.