Triple

T9055757
Position Surface form Disambiguated ID Type / Status
Subject Greatest Hits E216990 entity
Predicate includesSong P7178 FINISHED
Object I'm on Fire E216566 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: I'm on Fire | Statement: [Greatest Hits, includesSong, I'm on Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: I'm on Fire
Context triple: [Greatest Hits, includesSong, I'm on Fire]
  • A. I’m on Fire chosen
    "I'm on Fire" is a 1984 song by Bruce Springsteen, known for its sparse, haunting sound and smoldering vocal delivery.
  • B. We On Fire
    "We On Fire" is a popular late-1990s Southern hip hop track by the Hot Boys that helped cement the group's prominence in the Cash Money Records era.
  • C. On Fire
    "On Fire" is a hip-hop track produced by Kasseem Daoud Dean, better known as Swizz Beatz, showcasing his signature energetic, hard-hitting production style.
  • D. On Fire
    "On Fire" is a popular single by the American rock band Rebirth, known for its energetic sound and memorable hooks.
  • E. On Fire
    On Fire is a nonfiction book by Naomi Klein that explores the climate crisis and advocates for transformative, justice-centered solutions such as a Green New Deal.
  • 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_69ca83d4425481909a319dab847724ec completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc7a7488188190b3dd6bc2f2377503 completed April 1, 2026, 1:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69d0178be518819080bd6c8cf0a737e8 completed April 3, 2026, 7:39 p.m.
Created at: March 30, 2026, 7:10 p.m.