Triple

T20899882
Position Surface form Disambiguated ID Type / Status
Subject St. Francis Xavier X-Men and X-Women E514640 entity
Predicate shortName P43 FINISHED
Object StFX X-Men and X-Women NE NERFINISHED

How this triple was built (3 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: StFX X-Men and X-Women | Statement: [St. Francis Xavier X-Men and X-Women, shortName, StFX X-Men and X-Women]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: StFX X-Men and X-Women
Context triple: [St. Francis Xavier X-Men and X-Women, shortName, StFX X-Men and X-Women]
  • A. X-Men Unlimited
    X-Men Unlimited is a Marvel Comics anthology series that features standalone and expanded stories about various members of the X-Men universe.
  • B. X-Men Legends
    X-Men Legends is an action role-playing video game based on Marvel's X-Men franchise, featuring team-based combat and character progression.
  • C. X-Men Blue
    X-Men Blue is a Marvel Comics superhero team lineup of the X-Men, typically featuring characters like Nightcrawler (Kurt Wagner) and other classic mutants in stories emphasizing adventure and team dynamics.
  • D. X-Men '97
    X-Men '97 is an animated Marvel television series that continues the story and style of the classic 1990s X-Men: The Animated Series for modern audiences.
  • E. Uncanny X-Men
    Uncanny X-Men is a long-running and influential superhero comic book series that helped popularize Marvel’s mutant team and introduced many of its most iconic characters and storylines.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: StFX X-Men and X-Women
Target entity description: StFX X-Men and X-Women are the varsity athletic teams representing St. Francis Xavier University in intercollegiate sports.
  • A. X-Men Unlimited
    X-Men Unlimited is a Marvel Comics anthology series that features standalone and expanded stories about various members of the X-Men universe.
  • B. X-Men Legends
    X-Men Legends is an action role-playing video game based on Marvel's X-Men franchise, featuring team-based combat and character progression.
  • C. X-Men Blue
    X-Men Blue is a Marvel Comics superhero team lineup of the X-Men, typically featuring characters like Nightcrawler (Kurt Wagner) and other classic mutants in stories emphasizing adventure and team dynamics.
  • D. X-Men '97
    X-Men '97 is an animated Marvel television series that continues the story and style of the classic 1990s X-Men: The Animated Series for modern audiences.
  • E. Uncanny X-Men
    Uncanny X-Men is a long-running and influential superhero comic book series that helped popularize Marvel’s mutant team and introduced many of its most iconic characters and storylines.
  • F. None of above. chosen

Provenance (2 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_69e0b4f8a1108190bce3d31331290ced completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6e8fa5228819084341dbc813cc1e3 completed April 21, 2026, 3:03 a.m.
Created at: April 16, 2026, 12:47 p.m.