Triple

T17887796
Position Surface form Disambiguated ID Type / Status
Subject Checkmate E447239 entity
Predicate associatedWith P37 FINISHED
Object Amanda Waller 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: Amanda Waller | Statement: [Checkmate, associatedWith, Amanda Waller]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amanda Waller
Context triple: [Checkmate, associatedWith, Amanda Waller]
  • A. Amanda Waller chosen
    Amanda Waller is a ruthless, high-ranking government official in DC Comics who oversees covert operations and controls the Suicide Squad through manipulation and intimidation.
  • B. Kate Kane
    Kate Kane is the DC Comics superheroine who becomes Batwoman, a vigilante crime-fighter in Gotham City and cousin to Bruce Wayne.
  • C. Rose Wilson
    Rose Wilson is a DC Comics antiheroine and skilled assassin who operates under the codename Ravager and is the daughter of the mercenary Deathstroke.
  • D. Sara Lance
    Sara Lance is a central Arrowverse character, a resurrected assassin-turned-superhero who becomes the time-traveling leader of the Legends of Tomorrow.
  • E. Cat Grant
    Cat Grant is a fictional gossip columnist and media personality in DC Comics, often depicted as a sharp-tongued reporter and occasional love interest of Clark Kent/Superman.
  • 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_69d8b9f59bd48190a6fc925a855b8bac completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e49c14c4348190bb77712d9eae1d51 completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.