Triple

T17048563
Position Surface form Disambiguated ID Type / Status
Subject Ferry Corsten E413633 entity
Predicate notableWork P4 FINISHED
Object Fire
"Fire" is a trance track by Dutch DJ and producer Ferry Corsten, known for its energetic melody and vocal-driven, club-oriented sound.
E1248012 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: Fire | Statement: [Ferry Corsten, notableWork, Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fire
Context triple: [Ferry Corsten, notableWork, Fire]
  • A. Fire
    "Fire" is a section of Maxine Hong Kingston's book *The Fifth Book of Peace* that blends memoir and fiction to explore themes of war, loss, and the search for peace.
  • B. Fire
    "Fire" is a high-energy rock song by the Jimi Hendrix Experience, celebrated for its explosive guitar work and dynamic rhythm.
  • C. Fire
    "Fire" is a song by American rapper Vince Staples, known for its dark, atmospheric production and introspective lyrics.
  • D. Fire
    Fire is a groundbreaking 1996 Indian film by Deepa Mehta that explores a taboo same-sex relationship between two women within a traditional family, sparking major cultural and political controversy in India.
  • E. Fire
    "Fire" is a nonfiction book by Sebastian Junger that collects his journalistic accounts of dangerous and violent events around the world.
  • 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: Fire
Triple: [Ferry Corsten, notableWork, Fire]
Generated description
"Fire" is a trance track by Dutch DJ and producer Ferry Corsten, known for its energetic melody and vocal-driven, club-oriented sound.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Fire
Target entity description: "Fire" is a trance track by Dutch DJ and producer Ferry Corsten, known for its energetic melody and vocal-driven, club-oriented sound.
  • A. Fire
    "Fire" is a psychedelic hip-hop track by the duo Kids See Ghosts (Kanye West and Kid Cudi), known for its energetic production and themes of inner turmoil and resilience.
  • B. Fire
    "Fire" is a song by American rapper Vince Staples, known for its dark, atmospheric production and introspective lyrics.
  • C. Fire
    "Fire" is a popular song by Tanzanian singer Zuchu, known for its catchy Afro-pop sound and romantic themes.
  • D. Fire
    "Fire" is a song by the Irish singer-songwriter Kodaline from their album *Chasing Summer*.
  • E. Fire
    "Fire" is a pop-rock song by American singer-songwriter Gavin DeGraw, known for its soulful vocals and radio-friendly, anthemic 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_69d886cd18288190b006abab23f811b7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3daa092f08190a9e37404a9de662c completed April 18, 2026, 7:25 p.m.
NED1 Entity disambiguation (via context triple) batch_6a01233fb8d88190a9a6ef6a2f19a499 completed May 11, 2026, 12:30 a.m.
NEDg Description generation batch_6a012533f9a8819096ab9b821c848dd2 completed May 11, 2026, 12:39 a.m.
NED2 Entity disambiguation (via description) batch_6a0125dead2481908a5c26bda5a7cd1f completed May 11, 2026, 12:42 a.m.
Created at: April 10, 2026, 5:34 a.m.