Triple

T18092565
Position Surface form Disambiguated ID Type / Status
Subject One More Cup of Coffee (Valley Below) E433006 entity
Predicate recordedBy P1165 FINISHED
Object Bob Dylan 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: Bob Dylan | Statement: [One More Cup of Coffee (Valley Below), recordedBy, Bob Dylan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bob Dylan
Context triple: [One More Cup of Coffee (Valley Below), recordedBy, 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 (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_69d8b907d05c819083cc3bd6021089e6 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4dd1972a881908072990de0715547 completed April 19, 2026, 1:48 p.m.
Created at: April 10, 2026, 10:27 a.m.