Triple

T2700073
Position Surface form Disambiguated ID Type / Status
Subject Avengers E59209 entity
Predicate member P10 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: [Avengers, member, Scarlet Witch]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Scarlet Witch
Context triple: [Avengers, member, 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. Wanda
    Wanda is a feminine given name of Slavic origin, particularly common in Poland and other Central and Eastern European countries.
  • C. 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.
  • 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. Daisy Johnson
    Daisy Johnson is a powerful Inhuman superhero and skilled S.H.I.E.L.D. agent in Marvel Comics, best known by the codename Quake for her seismic vibration abilities and leadership roles.
  • 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_69ab4ac66bc88190b9e4afa5fc843f72 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda34ba508190be8e2c9e4052adfc completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afaf70f9088190acd4c8bd05deea47 completed March 10, 2026, 5:43 a.m.
Created at: March 6, 2026, 9:55 p.m.