Triple
T19372101
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Matt Barnes |
E484563
|
entity |
| Predicate | coHostOf |
P5275
|
FINISHED |
| Object | All The 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: All The Smoke | Statement: [Matt Barnes, coHostOf, All The Smoke]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: All The Smoke Context triple: [Matt Barnes, coHostOf, All The Smoke]
-
A.
All the Smoke
chosen
All the Smoke is a basketball-focused podcast and talk show known for candid, in-depth conversations with NBA players and other sports and entertainment figures.
-
B.
Smoke a Little Smoke
"Smoke a Little Smoke" is a country song by American singer-songwriter Eric Church, known for its gritty sound and laid-back, rebellious lyrics about unwinding and escaping life's pressures.
-
C.
Holy Smoke
Holy Smoke is a novel by Cuban writer Guillermo Cabrera Infante that showcases his playful, experimental style and fascination with language and popular culture.
-
D.
The Smoke
The Smoke is the English name of Surah Ad-Dukhan, a chapter of the Qur’an that warns of a coming smoke as a sign of divine punishment and emphasizes God’s power and mercy.
-
E.
The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
- 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_69d8e8d305088190ad13571532aa454c |
completed | April 10, 2026, 12:10 p.m. |
| NER | Named-entity recognition | batch_69e619b1b5fc819089f9fc43f407bbb0 |
completed | April 20, 2026, 12:18 p.m. |
Created at: April 10, 2026, 1:35 p.m.