Triple

T18846212
Position Surface form Disambiguated ID Type / Status
Subject Komen E460921 entity
Predicate hasVariant P455 FINISHED
Object Koopman 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: Koopman | Statement: [Komen, hasVariant, Koopman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Koopman
Context triple: [Komen, hasVariant, Koopman]
  • A. Koopmans chosen
    Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
  • B. Koops
    Koops is a timid Koopa Troopa character and party member from the video game "Paper Mario: The Thousand-Year Door."
  • C. Koop
    Koop is a central character in the British cult film "Human Traffic," known for his role in the story’s depiction of youth and club culture.
  • D. Koop
    Koop is a surname most prominently associated with C. Everett Koop, the influential former Surgeon General of the United States.
  • E. Koppelman
    Koppelman is a surname most notably associated with American screenwriter, director, and producer Brian Koppelman.
  • 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_69d8dcfa11e4819090ab1ef5bdcd2b2e completed April 10, 2026, 11:20 a.m.
NER Named-entity recognition batch_69e5b8ee96988190bf247b986777945c completed April 20, 2026, 5:26 a.m.
Created at: April 10, 2026, 11:56 a.m.