Triple

T14881872
Position Surface form Disambiguated ID Type / Status
Subject Black Mountain E350019 entity
Predicate hasSingle P3282 FINISHED
Object Angels E434429 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: Angels | Statement: [Black Mountain, hasSingle, Angels]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Angels
Context triple: [Black Mountain, hasSingle, Angels]
  • A. Angels
    "Angels" is a song by David Byrne featured on his self-titled 1994 album, blending art rock and alternative influences with Byrne's distinctive lyrical style.
  • B. Angels
    Angels is a dark, lyrical novel by Denis Johnson that follows two drifters on a violent, hallucinatory journey through the underbelly of America.
  • C. Angels chosen
    "Angels" is a hugely popular pop ballad by British singer Robbie Williams, widely regarded as his signature song and a modern classic.
  • D. Angels
    "Angels" is a song featured on Diddy – Dirty Money's R&B/hip-hop concept album "Last Train to Paris."
  • E. Angels
    Angels is a historic gold rush town in Calaveras County, California, best known for its mining heritage and association with Mark Twain’s story “The Celebrated Jumping Frog of Calaveras County.”
  • 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_69d822ee4f408190b6ac3b2fa434f0df completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded5e7c0e48190af2d68a71130585c completed April 15, 2026, 12:03 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b591f3c81909ea8a9217d96e0d2 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 1:56 a.m.