Triple

T5310986
Position Surface form Disambiguated ID Type / Status
Subject The Iron Woman E119025 entity
Predicate mainCharacter P1183 FINISHED
Object The Iron Woman (character) E119025 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: The Iron Woman (character) | Statement: [The Iron Woman, mainCharacter, The Iron Woman (character)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Iron Woman (character)
Context triple: [The Iron Woman, mainCharacter, The Iron Woman (character)]
  • A. The Iron Woman chosen
    The Iron Woman is a 1993 children’s science fiction novel by Ted Hughes that serves as an environmental-themed companion to his earlier book "The Iron Man."
  • B. Ирон (Iron)
    Ирон (Iron) is the self-designation used by Ossetians for their own ethnic group and language.
  • C. 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.
  • D. Ironhide
    Ironhide is a tough, battle-hardened Autobot warrior from the Transformers franchise, typically portrayed as a heavily armed security or weapons specialist fiercely loyal to Optimus Prime.
  • E. Hope van Dyne
    Hope van Dyne is a Marvel Comics and Marvel Cinematic Universe character who becomes the superhero Wasp, fighting alongside Ant-Man with a technologically advanced shrinking suit.
  • 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_69bd446b57bc8190a513d2e6c40314f3 completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd85343ae08190bd9801ea4eac7003 completed March 20, 2026, 5:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf11033c448190ab64600913ee8a9c completed March 21, 2026, 9:43 p.m.
Created at: March 20, 2026, 1:53 p.m.