Triple

T18699733
Position Surface form Disambiguated ID Type / Status
Subject On Fire E457214 entity
Predicate title P38 FINISHED
Object On Fire NE NERFINISHED

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: On Fire | Statement: [On Fire, title, On Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: On Fire
Context triple: [On Fire, title, On Fire]
  • A. On Fire
    "On Fire" is an ancient treatise by the Greek philosopher Theophrastus that examines the nature, causes, and properties of fire within early scientific and philosophical thought.
  • B. 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.
  • C. On Fire
    "On Fire" is the first studio album by hip hop group Stetsasonic, showcasing their pioneering blend of live instrumentation and rap in the mid-1980s.
  • D. 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.
  • E. On Fire
    "On Fire" is a popular single by the American rock band Rebirth, known for its energetic sound and memorable hooks.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

Provenance (2 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e562ea4ee48190b18a29553371f31a completed April 19, 2026, 11:19 p.m.
Created at: April 10, 2026, 11:49 a.m.