Triple
T16675471
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tinderbox |
E405205
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Cities in Dust |
E405212
|
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: Cities in Dust | Statement: [Tinderbox, notableWork, Cities in Dust]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cities in Dust Context triple: [Tinderbox, notableWork, Cities in Dust]
-
A.
Cities in Dust
chosen
"Cities in Dust" is a 1985 post-punk/new wave song by Siouxsie and the Banshees, known for its vivid, apocalyptic imagery inspired by the destruction of Pompeii.
-
B.
Dust
"Dust" is a song featured in the 1938 Gene Autry Western musical film *Under Western Stars*.
-
C.
Dust
"Dust" is an album titled to evoke themes of transience and impermanence, within which the track "Time" appears.
-
D.
Dust
Dust is a 1996 alternative rock album by Screaming Trees that blends psychedelic rock, grunge, and classic rock influences and is widely regarded as one of the band’s most accomplished works.
-
E.
Dust
Dust is a crime novel by Patricia Cornwell featuring medical examiner Dr. Kay Scarpetta as she investigates a complex murder case linked to powerful institutions.
- 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_69e37d6a1960819098c5e3385693a87a |
completed | April 18, 2026, 12:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0091927a408190a612a9ae2fd30d0a |
completed | May 10, 2026, 2:09 p.m. |
Created at: April 10, 2026, 5:19 a.m.