Triple

T9038513
Position Surface form Disambiguated ID Type / Status
Subject The Power Station (recording studio) E216559 entity
Predicate associatedWith P37 FINISHED
Object Bob Dylan E3416 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: Bob Dylan | Statement: [The Power Station (recording studio), associatedWith, Bob Dylan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Dylan
Context triple: [The Power Station (recording studio), associatedWith, Bob Dylan]
  • A. Bob Dylan chosen
    Bob Dylan is an influential American singer-songwriter and cultural icon whose poetic lyrics and groundbreaking work in popular music earned him the Nobel Prize in Literature.
  • B. Sir Dylan
    Sir Dylan is a music producer best known for his work on Miguel’s album "War & Leisure."
  • C. Leonard Cohen
    Leonard Cohen was a Canadian singer-songwriter, poet, and novelist renowned for his deep, poetic lyrics and melancholic songs such as "Hallelujah" and "Suzanne."
  • D. Dylan
    Dylan is a multi-paradigm programming language designed for dynamic, object-oriented application development, known for combining Lisp-like semantics with a more conventional, infix syntax.
  • E. Dylan
    Dylan is a play by Sidney Michaels that dramatizes the life and work of Welsh poet Dylan Thomas.
  • 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_69ca83d10b608190b2b2f8e0a7faaf14 completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc6ac35db081908222e233933060b0 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfeb8ec0588190a24b4a2aa443399f completed April 3, 2026, 4:32 p.m.
Created at: March 30, 2026, 7:09 p.m.