Triple

T18505780
Position Surface form Disambiguated ID Type / Status
Subject Power Station E452193 entity
Predicate hasMember P10 FINISHED
Object Michael Des Barres 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: Michael Des Barres | Statement: [Power Station, hasMember, Michael Des Barres]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Michael Des Barres
Context triple: [Power Station, hasMember, Michael Des Barres]
  • A. Michael Des Barres chosen
    Michael Des Barres is an English actor and rock singer known for his roles in film and television as well as for fronting several glam and hard rock bands.
  • B. Eric Van Lustbader
    Eric Van Lustbader is an American novelist best known for his thrillers and for continuing Robert Ludlum’s Jason Bourne series.
  • C. Michael Heller
    Michael Heller is a prominent philosopher and Catholic priest known for his work at the intersection of science, cosmology, and theology, and for being awarded the 2008 Templeton Prize.
  • D. Michael Talbott
    Michael Talbott is an American actor best known for his role as Detective Stanley Switek on the 1980s television series "Miami Vice."
  • E. Douglas Meyer
    Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e53341b6c48190b7da42f5df923e81 completed April 19, 2026, 7:55 p.m.
Created at: April 10, 2026, 11:36 a.m.