Triple

T10898421
Position Surface form Disambiguated ID Type / Status
Subject Ms. Marvel E257369 entity
Predicate introducesCharacter P12208 FINISHED
Object Kamala Khan E892975 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: Kamala Khan | Statement: [Ms. Marvel, introducesCharacter, Kamala Khan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kamala Khan
Context triple: [Ms. Marvel, introducesCharacter, Kamala Khan]
  • A. Kamala Khan chosen
    Kamala Khan is a Pakistani-American Muslim teenager from Jersey City who becomes the shape-shifting superhero Ms. Marvel in Marvel Comics.
  • B. Monica Rambeau
    Monica Rambeau is a Marvel Comics superhero and S.W.O.R.D. agent who gains energy-based powers and becomes a key figure in the Marvel Cinematic Universe.
  • C. Cassie Lang
    Cassie Lang is a Marvel Comics character best known as Scott Lang’s daughter who becomes the size-changing superheroine Stature (and later Stinger).
  • D. Kara Danvers
    Kara Danvers is the civilian identity of Supergirl, a Kryptonian superhero and central protagonist in the Arrowverse television franchise.
  • 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_69d6aa8550c8819095508a2ed9acf3db completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d75d03a3fc81908df039b9b5ab9ca2 completed April 9, 2026, 8:02 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23baecb008190b74bcbad1db61a91 completed April 17, 2026, 1:54 p.m.
Created at: April 8, 2026, 9:21 p.m.