Triple
T17460695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Life of a Don |
E425142
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Smoke |
—
|
NE NERFINISHED |
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: Smoke | Statement: [Life of a Don, hasPart, Smoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Smoke Context triple: [Life of a Don, hasPart, Smoke]
-
A.
Smoke
Smoke is a large-scale modern sculpture by American artist Tony Smith, renowned for its monumental geometric form and prominent installation at the Los Angeles County Museum of Art.
-
B.
Smoke
Smoke is the popular nickname of Tony Stewart, a three-time NASCAR Cup Series champion and prominent American stock car racing driver and team owner.
-
C.
Smoke
"Smoke" is a notable single by the German Eurodance group Jaguar II, recognized within their discography as one of their standout tracks.
-
D.
Smoke
chosen
Smoke is a 1995 independent film directed by Wayne Wang and written by Paul Auster, known for its interwoven, character-driven stories set around a Brooklyn cigar shop.
-
E.
Smoke Stack
Smoke Stack is a 1963 avant-garde jazz album by pianist Andrew Hill, noted for its innovative compositions and unconventional dual-bass lineup.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d889dbc2e88190b18ea6115e819258 |
completed | April 10, 2026, 5:25 a.m. |
| NER | Named-entity recognition | batch_69e451a3031c8190ab1dd0d41b002dd2 |
completed | April 19, 2026, 3:53 a.m. |
Created at: April 10, 2026, 5:47 a.m.