Triple

T3503510
Position Surface form Disambiguated ID Type / Status
Subject Harry Nilsson E74020 entity
Predicate wroteSong P2831 FINISHED
Object Jump into the Fire E363910 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: Jump into the Fire | Statement: [Harry Nilsson, wroteSong, Jump into the Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jump into the Fire
Context triple: [Harry Nilsson, wroteSong, Jump into the Fire]
  • A. Jump into the Fire chosen
    "Jump into the Fire" is a 1971 hard-rocking song by Harry Nilsson, best known for its driving bass line and prominent use in the film Goodfellas.
  • B. Through the Fire
    "Through the Fire" is a 1984 soulful R&B ballad by Chaka Khan, renowned for its powerful vocals and enduring popularity as one of her signature songs.
  • C. Into the Fire
    "Into the Fire" is a track from Bruce Springsteen’s album *The Rising*, known for its reflective, post-9/11 themes of sacrifice and resilience.
  • D. Under Fire
    Under Fire is a seminal World War I novel by Henri Barbusse that offers a stark, realistic portrayal of French soldiers’ experiences in the trenches.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbbf0c2b48190b49923137bb9e45d completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e6aea8c81908dbe4748dd8a9d9c completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:18 p.m.