Triple

T15073109
Position Surface form Disambiguated ID Type / Status
Subject Harry Bosch E379930 entity
Predicate appearsIn P795 FINISHED
Object Trunk Music E379892 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: Trunk Music | Statement: [Harry Bosch, appearsIn, Trunk Music]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trunk Music
Context triple: [Harry Bosch, appearsIn, Trunk Music]
  • A. Trunk Music chosen
    Trunk Music is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch investigating a murder linked to Hollywood and Las Vegas.
  • B. Trunk Line
    The Trunk Line is one of Norway’s oldest and most important railway lines, connecting Oslo with surrounding regions and serving key towns such as Jessheim.
  • C. What A Music
    What A Music is a record label founded and run by French DJ and producer David Guetta, primarily focused on electronic dance music releases.
  • D. Music from the Road
    Music from the Road is a nonfiction work by critic and author Tim Page that reflects his engagement with music and musicians, likely blending travel, observation, and cultural commentary.
  • E. Tarkus
    Tarkus is a 1971 progressive rock album by Emerson, Lake & Palmer, renowned for its ambitious multi-part title suite and complex, keyboard-driven compositions.
  • 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_69d85cd7683881908d405c1b5d7b4f7f completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69dff7fa0570819088a97b28173154cd completed April 15, 2026, 8:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69feae11d6648190bc9b5d4f520d694b completed May 9, 2026, 3:46 a.m.
Created at: April 10, 2026, 3:02 a.m.