Triple

T17884861
Position Surface form Disambiguated ID Type / Status
Subject Sleeper E447174 entity
Predicate protagonist P268 FINISHED
Object Holden Carver 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: Holden Carver | Statement: [Sleeper, protagonist, Holden Carver]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Holden Carver
Context triple: [Sleeper, protagonist, Holden Carver]
  • A. Holden Carver chosen
    Holden Carver is a morally ambiguous covert operative and double agent with regenerative powers who serves as the conflicted protagonist of the comic book series "Sleeper."
  • B. Holden
    Holden is a suburban town in Worcester County, Massachusetts, known for its residential character and proximity to the city of Worcester.
  • C. Holden
    Holden is a small town in central Utah, United States, known for its rural character and proximity to Interstate 15.
  • D. Holden
    Holden is a small city located in Johnson County, Missouri, in the United States.
  • E. Holden
    Holden was an Australian automobile manufacturer and marque owned by General Motors, known for producing popular locally designed cars before ceasing operations in the 21st century.
  • 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_69e49c123748819091bf46178105079b completed April 19, 2026, 9:10 a.m.
Created at: April 10, 2026, 10:18 a.m.