Triple

T16008320
Position Surface form Disambiguated ID Type / Status
Subject Impossible Missions Force E388273 entity
Predicate hasMember P10 FINISHED
Object Willy Armitage E1126995 NE FINISHED

How this triple was built (2 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: Willy Armitage | Statement: [Impossible Missions Force, hasMember, Willy Armitage]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Willy Armitage
Context triple: [Impossible Missions Force, hasMember, Willy Armitage]
  • A. Willy Armitage chosen
    Willy Armitage is a strong, taciturn team member and muscleman on the classic television series "Mission: Impossible."
  • B. Johnny Worricker
    Johnny Worricker is a seasoned, quietly principled MI5 intelligence officer whose moral dilemmas drive the British political thriller film "Page Eight."
  • C. Willy Ainley
    Willy Ainley is a character in the 1932 romantic drama film "Smilin’ Through," which centers on themes of enduring love and loss across generations.
  • D. Archie Campbell
    Archie Campbell is a fictional character from Louisa May Alcott's novel "Eight Cousins," one of Rose Campbell's lively male cousins in the story.
  • E. Archie Morris
    Archie Morris is a fictional emergency medicine physician best known as a quirky, often comic-relief character on the television series "ER."
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e15800e3608190bd3e1123ccc6c326 completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffe470cd5881909cc0c48b3a540d61 completed May 10, 2026, 1:50 a.m.
Created at: April 10, 2026, 4:55 a.m.