Triple

T12231571
Position Surface form Disambiguated ID Type / Status
Subject Beast E291487 entity
Predicate affiliation P10 FINISHED
Object Charles Xavier E398189 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: Charles Xavier | Statement: [Beast, affiliation, Charles Xavier]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charles Xavier
Context triple: [Beast, affiliation, Charles Xavier]
  • A. Charles Xavier chosen
    Charles Xavier, also known as Professor X, is a powerful telepathic mutant and the founder and leader of the X-Men in the Marvel Comics universe.
  • B. Magneto
    Magneto is a powerful Marvel Comics supervillain and occasional antihero, known as a mutant with magnetic abilities and a complex ideological rivalry with the X-Men.
  • C. Xavier
    Xavier is the middle name of X. Atencio, the Disney animator and Imagineer known for his work on classic theme park attractions.
  • D. Xavier
    Xavier is the given name of Xavi Hernández, the renowned Spanish former footballer and current manager best known for his legendary midfield role at FC Barcelona and with Spain’s national team.
  • E. Xavier
    Xavier is the men's college basketball team representing Xavier University in NCAA Division I competition.
  • 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_69d6ab668acc8190963ba424049d6aee completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d91ca45bd48190b8b7f6b29b6bb25b completed April 10, 2026, 3:52 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60aad2d488190ba36588e3376ca1a completed May 2, 2026, 2:31 p.m.
Created at: April 8, 2026, 9:51 p.m.