Triple

T16677162
Position Surface form Disambiguated ID Type / Status
Subject Ladies and Gentlemen E405240 entity
Predicate performer P1363 FINISHED
Object Dave Novotny unclear NED1 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: Dave Novotny | Statement: [Ladies and Gentlemen, performer, Dave Novotny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Dave Novotny
Context triple: [Ladies and Gentlemen, performer, Dave Novotny]
  • A. Dave Novotny
    Dave Novotny is a musician best known as a member of the American rock band Saliva.
  • B. Dave Novotny
    Dave Novotny is a composer best known for creating the music for the work titled "Your Disease."
  • C. Michael Novotny
    Michael Novotny is a central character in the television series "Queer as Folk," portrayed as a kind-hearted comic book enthusiast whose long-standing friendship with Brian Kinney shapes much of the show's emotional core.
  • D. Andrew J. Novobilski
    Andrew J. Novobilski is a computer scientist and author known for co-writing influential work on the Objective-C programming language alongside Brad Cox.
  • E. Daniel Dometz
    Daniel Dometz is a French local politician serving as the mayor of the commune of Saint-Mard.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6c805c81909fbe4fcb20eedbe1 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00aaeaf4388190aa5340a01938b3f2 completed May 10, 2026, 3:57 p.m.
Created at: April 10, 2026, 5:19 a.m.