Triple

T6852213
Position Surface form Disambiguated ID Type / Status
Subject Ken Anderson E158046 entity
Predicate name P16 FINISHED
Object Ken Anderson E63922 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: Ken Anderson | Statement: [Ken Anderson, name, Ken Anderson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ken Anderson
Context triple: [Ken Anderson, name, Ken Anderson]
  • A. Ken Anderson chosen
    Ken Anderson was an American animator, art director, and story artist best known for his influential work on numerous classic Walt Disney films.
  • B. Ken Anderson
    Ken Anderson is a former NFL quarterback best known for leading the Cincinnati Bengals in the 1970s and early 1980s, earning an MVP award and a Super Bowl appearance.
  • C. Michael Sutter
    Michael Sutter is a professional ice hockey player known for his career in European leagues, particularly in Switzerland.
  • D. Cliff Secord
    Cliff Secord is the fictional stunt pilot who becomes the jetpack-wearing hero known as the Rocketeer in the comic books and film of the same name.
  • E. Greg Anderson
    Greg Anderson is an Anglican bishop who leads the Diocese of the Northern Territory in Australia.
  • 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_69c6882fae988190864cbba788c5ebb4 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d84e6fb08190915954be5b0df2d8 completed March 27, 2026, 7:19 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7617847908190abacde0f816b4372 completed March 28, 2026, 5:04 a.m.
Created at: March 27, 2026, 2:20 p.m.