Triple

T23145105
Position Surface form Disambiguated ID Type / Status
Subject Tea for the Tillerman E577564 entity
Predicate notableSong P4 FINISHED
Object Miles from Nowhere 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: Miles from Nowhere | Statement: [Tea for the Tillerman, notableSong, Miles from Nowhere]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miles from Nowhere
Context triple: [Tea for the Tillerman, notableSong, Miles from Nowhere]
  • A. Miles from Nowhere chosen
    "Miles from Nowhere" is a contemplative folk-rock song by Cat Stevens that reflects on life’s journey, mortality, and spiritual searching.
  • B. A Thousand Miles from Nowhere
    A Thousand Miles from Nowhere is a 1993 country song by Dwight Yoakam known for its melancholic lyrics and atmospheric, Bakersfield-influenced sound.
  • C. Many a Mile
    "Many a Mile" is a folk song by American singer-songwriter Patrick Sky, known for its reflective lyrics and traditional acoustic style.
  • D. Miles Gone By
    Miles Gone By is a memoir by conservative author and commentator William F. Buckley Jr. that reflects on his life, career, and influences through a collection of personal essays and reminiscences.
  • E. Road to Nowhere
    Road to Nowhere is a 2010 neo-noir mystery film directed by Monte Hellman that blurs the line between reality and fiction through a movie-within-a-movie narrative.
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecd40108190aaad7faf754b7936 completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4:01 p.m.