Triple

T9681709
Position Surface form Disambiguated ID Type / Status
Subject Solace E234296 entity
Predicate track P17929 FINISHED
Object Into the Fire E216586 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: Into the Fire | Statement: [Solace, track, Into the Fire]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Into the Fire
Context triple: [Solace, track, Into the Fire]
  • A. Into the Fire chosen
    "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.
  • B. Voice of the Fire
    Voice of the Fire is a 1996 experimental novel by Alan Moore that interweaves twelve narratives set in and around Northampton, England, across 6,000 years of history.
  • C. To the Fire
    "To the Fire" is a song featured on the album "7800° Fahrenheit" by the American rock band Bon Jovi.
  • D. 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.
  • E. Cycle of Fire
    Cycle of Fire is a hard science fiction novel by Hal Clement that follows a human castaway on a harsh alien world with extreme seasonal changes, emphasizing scientific realism and survival.
  • 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_69ca84c99e34819092e5563a7106cfca completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cd9c9fec1c8190b2626848cb2c1871 completed April 1, 2026, 10:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d18a3d77c48190b7fcde4708ca3811 completed April 4, 2026, 10:01 p.m.
Created at: March 30, 2026, 8:16 p.m.