Triple

T16324339
Position Surface form Disambiguated ID Type / Status
Subject Brian Dunkleman E396374 entity
Predicate name P16 FINISHED
Object Brian Dunkleman E396374 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: Brian Dunkleman | Statement: [Brian Dunkleman, name, Brian Dunkleman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brian Dunkleman
Context triple: [Brian Dunkleman, name, Brian Dunkleman]
  • A. Brian Dunkleman chosen
    Brian Dunkleman is an American comedian, actor, and television personality best known for co-hosting the first season of the reality singing competition "American Idol."
  • B. Daryl Stuermer
    Daryl Stuermer is an American guitarist and bassist best known for his long-time work as a touring and session musician with Genesis and Phil Collins.
  • C. Dusty Hill
    Dusty Hill was an American bassist, singer, and songwriter best known as the longtime bearded bass player and vocalist for the rock band ZZ Top.
  • D. Jan Hammer
    Jan Hammer is a Czech-American keyboardist and composer best known for his pioneering fusion work and for composing the iconic Miami Vice television soundtrack.
  • E. Deryck Guyler
    Deryck Guyler was a British character actor and comedian best known for his roles in mid-20th-century radio and television sitcoms.
  • 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_69d87f255b788190a400eba031dd85d8 completed April 10, 2026, 4:40 a.m.
NER Named-entity recognition batch_69e296b8fe988190adee72b23246052f completed April 17, 2026, 8:23 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00260ca9f08190aa95560fea482dd4 completed May 10, 2026, 6:30 a.m.
Created at: April 10, 2026, 5:06 a.m.