Triple

T17438245
Position Surface form Disambiguated ID Type / Status
Subject Paradise E424067 entity
Predicate connectedToCharacter P37306 FINISHED
Object Diana Prince NE NERFINISHED

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: Diana Prince | Statement: [Paradise, connectedToCharacter, Diana Prince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana Prince
Context triple: [Paradise, connectedToCharacter, Diana Prince]
  • A. Diana Prince chosen
    Diana Prince is the Amazonian warrior princess better known as Wonder Woman, a DC Comics superhero who leaves her hidden island to protect humanity.
  • B. Melissa Dyne
    Melissa Dyne is an American artist and musician best known as a member of the experimental pop duo The Blow, where she contributes to the group’s sound design and conceptual production.
  • C. Jo Grant
    Jo Grant is a spirited and resourceful companion of the Third Doctor in the classic British science fiction series Doctor Who.
  • D. 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.
  • E. Kate Kane
    Kate Kane is the DC Comics superheroine who becomes Batwoman, a vigilante crime-fighter in Gotham City and cousin to Bruce Wayne.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889d88b6081908bada047f5b3ba51 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff584cc81908207c163f19ff972 completed April 19, 2026, 3:45 a.m.
Created at: April 10, 2026, 5:46 a.m.