Triple

T16675790
Position Surface form Disambiguated ID Type / Status
Subject Cities in Dust E405212 entity
Predicate includedOnAlbum P1995 FINISHED
Object Tinderbox E405205 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: Tinderbox | Statement: [Cities in Dust, includedOnAlbum, Tinderbox]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tinderbox
Context triple: [Cities in Dust, includedOnAlbum, Tinderbox]
  • A. Tinderbox chosen
    Tinderbox is a 1986 post-punk/gothic rock album by Siouxsie and the Banshees, noted for its atmospheric sound and the single "Cities in Dust."
  • B. Tinderbox
    Tinderbox is a novel by American author Lisa Gabriele, written under the pseudonym Leah Stewart, that explores complex family dynamics and personal reinvention.
  • C. The Black Box
    The Black Box is a crime novel by Michael Connelly featuring LAPD detective Harry Bosch as he reopens a decades-old murder case first encountered during the 1992 Los Angeles riots.
  • D. Tristero
    Tristero is a mysterious underground postal system and secret organization central to the conspiracy and ambiguity in Thomas Pynchon's novel "The Crying of Lot 49."
  • E. The Box
    "The Box" is a 2019 trap/hip-hop single by Roddy Ricch that became a viral hit and topped the Billboard Hot 100 for multiple weeks.
  • 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_69d8838c28748190b3f5967c743940ab completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e37d6b69cc8190b19632e1b4293569 completed April 18, 2026, 12:47 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00a51169b881909216ab1055752978 completed May 10, 2026, 3:32 p.m.
Created at: April 10, 2026, 5:19 a.m.