Triple

T2110213
Position Surface form Disambiguated ID Type / Status
Subject Captain America: Civil War E42483 entity
Predicate mainCharacter P1183 FINISHED
Object Wanda Maximoff E199163 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: Wanda Maximoff | Statement: [Captain America: Civil War, mainCharacter, Wanda Maximoff]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wanda Maximoff
Context triple: [Captain America: Civil War, mainCharacter, Wanda Maximoff]
  • A. Scarlet Witch chosen
    Scarlet Witch is a powerful Marvel Comics superhero and Avenger, known for her reality-warping chaos magic and complex moral journey.
  • B. Pietro Maximoff
    Pietro Maximoff, also known as Quicksilver, is a Marvel Comics superhero famed for his incredible superhuman speed and impulsive, protective nature, particularly toward his twin sister Wanda.
  • C. Natasha Romanoff
    Natasha Romanoff, also known as Black Widow, is a highly skilled spy and assassin turned superhero in the Marvel Cinematic Universe and Marvel Comics.
  • D. Miss Quill
    Miss Quill is a sharp-tongued, battle-hardened alien freedom fighter and teacher from the Doctor Who spin-off series "Class."
  • E. Jane Foster
    Jane Foster is a brilliant astrophysicist and Thor’s primary human love interest in Marvel’s Thor films.
  • 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_69a8871040f08190aac2e2d0ab6b47ad completed March 4, 2026, 7:25 p.m.
NER Named-entity recognition batch_69abbb024ce88190a30e1320e53b82bc completed March 7, 2026, 5:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae51926e4481909dd148b5cab3b6ec completed March 9, 2026, 4:50 a.m.
Created at: March 4, 2026, 7:43 p.m.