Triple

T2046839
Position Surface form Disambiguated ID Type / Status
Subject Doctor Strange E45471 entity
Predicate ally P4662 FINISHED
Object Scarlet Witch 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: Scarlet Witch | Statement: [Doctor Strange, ally, Scarlet Witch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarlet Witch
Context triple: [Doctor Strange, ally, Scarlet Witch]
  • 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. Miss Quill
    Miss Quill is a sharp-tongued, battle-hardened alien freedom fighter and teacher from the Doctor Who spin-off series "Class."
  • D. Gamora
    Gamora is a skilled assassin and adopted daughter of Thanos who becomes a key member of the Guardians of the Galaxy in the Marvel Cinematic Universe.
  • 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_69a8891948208190ab7898da21824c77 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb973a51881908c2c1e633daa3cb4 completed March 7, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae2003e9488190b54ff042c91d4a62 completed March 9, 2026, 1:19 a.m.
Created at: March 4, 2026, 7:39 p.m.