Triple

T11669141
Position Surface form Disambiguated ID Type / Status
Subject Roy Thomas E277331 entity
Predicate coCreated P1858 FINISHED
Object Carol Danvers E508712 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: Carol Danvers | Statement: [Roy Thomas, coCreated, Carol Danvers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carol Danvers
Context triple: [Roy Thomas, coCreated, Carol Danvers]
  • A. 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.
  • B. 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.
  • C. Ms. Marvel (Carol Danvers) chosen
    Ms. Marvel (Carol Danvers) is a prominent Marvel Comics superheroine, later known as Captain Marvel, who gained superhuman strength, flight, and energy powers and became a key member of the Avengers.
  • D. 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.
  • E. Gwen Tyler
    Gwen Tyler is a fictional character featured in a toy line, likely designed as part of a themed set or narrative-driven collection.
  • 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_69d6aafd0a448190b44da30af8c6c519 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a440d8a481909a13c97813408bc8 completed April 10, 2026, 7:18 a.m.
NED1 Entity disambiguation (via context triple) batch_69ef13c3ea648190ae18cd2869be74ad completed April 27, 2026, 7:44 a.m.
Created at: April 8, 2026, 9:39 p.m.