Triple

T13794627
Position Surface form Disambiguated ID Type / Status
Subject House of Balloons E331483 entity
Predicate hasTrack P3284 FINISHED
Object Coming Down
"Coming Down" is a moody, atmospheric R&B track by The Weeknd from his influential debut mixtape era.
E1061422 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: Coming Down | Statement: [House of Balloons, hasTrack, Coming Down]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Coming Down
Context triple: [House of Balloons, hasTrack, Coming Down]
  • A. Coming Down Again
    "Coming Down Again" is a melancholic, Keith Richards–sung track by The Rolling Stones from their 1973 album *Goats Head Soup*.
  • B. The Falling
    The Falling is a 2014 British drama film set in a girls' school in the 1960s, exploring mass hysteria and adolescent sexuality, in which Monica Dolan plays a key role.
  • C. Bring Me Down
    "Bring Me Down" is a song by Kanye West featuring Brandy from his critically acclaimed 2005 album *Late Registration*.
  • D. Let It Come Down
    Let It Come Down is a 1952 novel by Paul Bowles that follows an American expatriate’s descent into moral and psychological disintegration in postwar Tangier.
  • E. A Long Way Down
    A Long Way Down is a darkly comic novel by Nick Hornby about four suicidal strangers who meet on a London rooftop on New Year’s Eve and unexpectedly form a makeshift support group.
  • 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: Coming Down
Triple: [House of Balloons, hasTrack, Coming Down]
Generated description
"Coming Down" is a moody, atmospheric R&B track by The Weeknd from his influential debut mixtape era.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Coming Down
Target entity description: "Coming Down" is a moody, atmospheric R&B track by The Weeknd from his influential debut mixtape era.
  • A. Coming Down Again
    "Coming Down Again" is a melancholic, Keith Richards–sung track by The Rolling Stones from their 1973 album *Goats Head Soup*.
  • B. The Falling
    The Falling is a 2014 British drama film set in a girls' school in the 1960s, exploring mass hysteria and adolescent sexuality, in which Monica Dolan plays a key role.
  • C. Bring Me Down
    "Bring Me Down" is a song by Kanye West featuring Brandy from his critically acclaimed 2005 album *Late Registration*.
  • D. Let It Come Down
    Let It Come Down is a 1952 novel by Paul Bowles that follows an American expatriate’s descent into moral and psychological disintegration in postwar Tangier.
  • E. A Long Way Down
    A Long Way Down is a darkly comic novel by Nick Hornby about four suicidal strangers who meet on a London rooftop on New Year’s Eve and unexpectedly form a makeshift support group.
  • 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_69d81c58feb08190a77bca8bf7d6d20f completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de0259b0e4819081c11ced694384fb completed April 14, 2026, 9:01 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7b083387081909c6f4beb0e12cf36 completed May 3, 2026, 8:30 p.m.
NEDg Description generation batch_69f7b14fe1cc8190b1a5f6f0e80b7e39 completed May 3, 2026, 8:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7b20f67048190a641527353e3ff43 completed May 3, 2026, 8:37 p.m.
Created at: April 9, 2026, 10:11 p.m.