Triple

T8447302
Position Surface form Disambiguated ID Type / Status
Subject Allan Heinberg E199707 entity
Predicate notableCharacterCreated P9708 FINISHED
Object Kate Bishop E257930 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: Kate Bishop | Statement: [Allan Heinberg, notableCharacterCreated, Kate Bishop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Bishop
Context triple: [Allan Heinberg, notableCharacterCreated, Kate Bishop]
  • A. Kate Bishop chosen
    Kate Bishop is a young, skilled archer and protégé of Clint Barton in the Marvel universe who takes up the Hawkeye mantle.
  • B. Jennifer Walters
    Jennifer Walters is a Marvel Comics lawyer who becomes the superhero She-Hulk after receiving a blood transfusion from her cousin Bruce Banner.
  • C. May Parker (Spider-Girl)
    May Parker (Spider-Girl) is a Marvel Comics superheroine from an alternate future, the teenage daughter of Peter Parker and Mary Jane Watson who inherits her father's spider-powers and crime-fighting legacy.
  • D. 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).
  • 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_69ca83170f9081909cd98f55614c6476 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe44480ec8190b32443a53cd4f943 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1db6330c81909c853c453fddf3c5 completed April 2, 2026, 7:41 a.m.
Created at: March 30, 2026, 6:09 p.m.