Triple

T14881874
Position Surface form Disambiguated ID Type / Status
Subject Black Mountain E350019 entity
Predicate hasSingle P3282 FINISHED
Object Old Fangs
Old Fangs is a track by the Canadian post-rock band Black Mountain, known for its heavy, psychedelic rock sound.
E1125746 NE FINISHED

How this triple was built (4 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: Old Fangs | Statement: [Black Mountain, hasSingle, Old Fangs]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Old Fangs
Context triple: [Black Mountain, hasSingle, Old Fangs]
  • A. Old Days
    "Old Days" is a nostalgic rock song by the American band Chicago, reflecting on childhood memories and released in the mid-1970s.
  • B. The Old Guys
    The Old Guys is a British television sitcom about two eccentric, aging flatmates navigating modern life and relationships with irreverent humor.
  • C. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • D. Old School
    "Old School" is a track from 2Pac’s critically acclaimed 1995 album *Me Against the World*, reflecting on his formative years and the influence of earlier hip-hop culture.
  • E. Old School
    "Old School" is a song featured on Colbie Caillat's album *The Malibu Sessions*, reflecting the record's laid-back, acoustic pop style.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Old Fangs
Triple: [Black Mountain, hasSingle, Old Fangs]
Generated description
Old Fangs is a track by the Canadian post-rock band Black Mountain, known for its heavy, psychedelic rock sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Old Fangs
Target entity description: Old Fangs is a track by the Canadian post-rock band Black Mountain, known for its heavy, psychedelic rock sound.
  • A. Old Days
    "Old Days" is a nostalgic rock song by the American band Chicago, reflecting on childhood memories and released in the mid-1970s.
  • B. The Old Guys
    The Old Guys is a British television sitcom about two eccentric, aging flatmates navigating modern life and relationships with irreverent humor.
  • C. Olden
    Olden is a surname most notably associated with Charles Smith Olden, a 19th-century American politician who served as Governor of New Jersey.
  • D. Old School
    "Old School" is a track from 2Pac’s critically acclaimed 1995 album *Me Against the World*, reflecting on his formative years and the influence of earlier hip-hop culture.
  • E. Old School
    "Old School" is a song featured on Colbie Caillat's album *The Malibu Sessions*, reflecting the record's laid-back, acoustic pop style.
  • F. None of above. chosen

Provenance (5 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.
NEDg Description generation batch_69fe6c55d6b88190b0f57009be962194 completed May 8, 2026, 11:05 p.m.
NED2 Entity disambiguation (via description) batch_69fe6e56e7e88190b70497e168d707de completed May 8, 2026, 11:14 p.m.
Created at: April 10, 2026, 1:56 a.m.