Triple

T8507287
Position Surface form Disambiguated ID Type / Status
Subject Hall of Fame E201364 entity
Predicate hasSong P20452 FINISHED
Object Fire
"Fire" is a song featured in the Hall of Fame's catalog, recognized for its enduring popularity and influence.
 E739416 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: [Hall of Fame, hasSong, Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fire
Context triple: [Hall of Fame, hasSong, 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 pop-rock song by American singer-songwriter Gavin DeGraw, known for its soulful vocals and radio-friendly, anthemic style.
  • D. 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.
  • E. 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.
  • 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: [Hall of Fame, hasSong, Fire]
Generated description
"Fire" is a song featured in the Hall of Fame's catalog, recognized for its enduring popularity and influence.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fire
Target entity description: "Fire" is a song featured in the Hall of Fame's catalog, recognized for its enduring popularity and influence.
  • A. Fire
    "Fire" is a high-energy rock song by the Jimi Hendrix Experience, celebrated for its explosive guitar work and dynamic rhythm.
  • 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 pop-rock song by American singer-songwriter Gavin DeGraw, known for its soulful vocals and radio-friendly, anthemic style.
  • D. 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.
  • E. 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.
  • 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_69ca831fe47c8190b5c57b456d2aefa0 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe5de18448190a695eec609b34e1a completed March 31, 2026, 3:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce4e37b0548190908632fd167efac1 completed April 2, 2026, 11:08 a.m.
NEDg Description generation batch_69ce5245c69c8190a2cd9a23954872e5 completed April 2, 2026, 11:25 a.m.
NED2 Entity disambiguation (via description) batch_69ce52d5c264819098e20971a8093acf completed April 2, 2026, 11:28 a.m.
Created at: March 30, 2026, 6:14 p.m.