Triple

T22760117
Position Surface form Disambiguated ID Type / Status
Subject Kapp Records E562961 entity
Predicate namedAfter P63 FINISHED
Object David Kapp 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: David Kapp | Statement: [Kapp Records, namedAfter, David Kapp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: David Kapp
Context triple: [Kapp Records, namedAfter, David Kapp]
  • A. David Kapp chosen
    David Kapp was an American record executive best known as the founder of the independent label Kapp Records, which was influential in mid-20th-century popular music.
  • B. Mike Kellerman
    Mike Kellerman is a fictional Baltimore homicide detective known for his morally complex investigations and personal struggles on the television series "Homicide: Life on the Street."
  • C. Ken Lemberger
    Ken Lemberger is a film producer known for his work on the 2006 adaptation of "All the King's Men."
  • D. David Ghantt
    David Ghantt is a former armored car driver whose real-life involvement in the 1997 Loomis Fargo robbery inspired the main character in the comedy film "Masterminds."
  • E. Sam Koppelman
    Sam Koppelman is an American writer and political speechwriter known for co-authoring books with figures like Beto O’Rourke and for his work on voting rights and democracy.
  • 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_69e24552e11c81909c2d61578a558bd7 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17a7b4fe88190b1da25b78f046d13 completed April 29, 2026, 3:26 a.m.
Created at: April 17, 2026, 3:26 p.m.