Triple
T14640570
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ask the Dust |
E343709
|
entity |
| Predicate | basedOn |
P98
|
FINISHED |
| Object | Ask the Dust (novel) |
—
|
NE GENERATED |
How this triple was built (1 step)
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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ask the Dust (novel) Context triple: [Ask the Dust, basedOn, Ask the Dust (novel)]
-
A.
Ask the Dust
chosen
Ask the Dust is a 2006 romantic drama film adaptation of John Fante’s novel, starring Salma Hayek and Colin Farrell in Depression-era Los Angeles.
-
B.
The Lavender Hill Mob
The Lavender Hill Mob is a classic 1951 British Ealing Studios comedy film about a timid bank clerk who masterminds a gold bullion heist.
-
C.
Dead Men’s Trousers
Dead Men’s Trousers is a 2018 novel by Irvine Welsh that revisits the characters from Trainspotting as they navigate middle age, fame, and lingering self-destruction.
-
D.
Nightwood
Nightwood is a modernist novel by Djuna Barnes, renowned for its experimental style and pioneering portrayal of queer relationships in early 20th-century literature.
-
E.
The Singing Detective
The Singing Detective is a critically acclaimed British television serial written by Dennis Potter that blends noir mystery, musical fantasy, and psychological drama through the hallucinations of a hospitalized writer.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (1 batch)
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_69d822e1a2cc81908e5bb93cf61ce3cc |
completed | April 9, 2026, 10:06 p.m. |
Created at: April 10, 2026, 1:26 a.m.