Triple

T2419065
Position Surface form Disambiguated ID Type / Status
Subject Tony Koop E52375 entity
Predicate name P16 FINISHED
Object Tony Koop E52375 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: Tony Koop | Statement: [Tony Koop, name, Tony Koop]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony Koop
Context triple: [Tony Koop, name, Tony Koop]
  • A. Tony Koop chosen
    Tony Koop is an individual notable enough to be recognized as a namesake of the surname Koop, though specific widely known public details about him are limited.
  • B. Kurt Johnstad
    Kurt Johnstad is an American screenwriter best known for writing the action films "300" and "Atomic Blonde."
  • C. Mark Kohr
    Mark Kohr is an American music video director known for his work with prominent alternative rock bands in the 1990s.
  • D. Tony Kubek
    Tony Kubek is a former Major League Baseball shortstop and longtime television broadcaster best known for his work as a color commentator on national baseball telecasts.
  • E. Steven Koop
    Steven Koop is an individual notable enough to be specifically identified as a bearer of the surname Koop, though no widely recognized public information about him is available.
  • 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_69ab495622948190bc6bc6e4cddaf645 completed March 6, 2026, 9:38 p.m.
NER Named-entity recognition batch_69abc96e1b3881909de57501b5d4099a completed March 7, 2026, 6:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69aebf5397508190b755e522060041c0 completed March 9, 2026, 12:38 p.m.
Created at: March 6, 2026, 9:42 p.m.