Triple

T10368730
Position Surface form Disambiguated ID Type / Status
Subject X-Men: First Class E244319 entity
Predicate mainCharacter P1183 FINISHED
Object Erik Lehnsherr E238113 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: Erik Lehnsherr | Statement: [X-Men: First Class, mainCharacter, Erik Lehnsherr]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Erik Lehnsherr
Context triple: [X-Men: First Class, mainCharacter, Erik Lehnsherr]
  • A. Charles Xavier
    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 chosen
    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. William Stryker
    William Stryker is a recurring X-Men villain, typically portrayed as a fanatical military or religious figure obsessed with controlling or eradicating mutants, particularly Wolverine.
  • D. Scott Summers
    Scott Summers is a longtime leader of the X-Men, a mutant superhero who projects powerful optic blasts and is best known by his codename Cyclops.
  • E. Dr. Cyclops
    Dr. Cyclops is a 1940 science fiction horror film best known for its pioneering use of Technicolor and its story of a mad scientist who shrinks his victims in the Peruvian jungle.
  • 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_69d381b3e328819094b23b8edcd29b5a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4e97106448190a075948e63184f47 completed April 7, 2026, 11:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69d7fb8e96e081908282bb0f82719abe completed April 9, 2026, 7:18 p.m.
Created at: April 6, 2026, 12:01 p.m.