Triple

T15389829
Position Surface form Disambiguated ID Type / Status
Subject Stephen Jackson E368009 entity
Predicate hostOf P105 FINISHED
Object All the Smoke
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.
 E1154839 NE FINISHED

How this triple was built (4 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: [Stephen Jackson, hostOf, All the Smoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: All the Smoke
Context triple: [Stephen Jackson, hostOf, All the Smoke]
  • A. 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.
  • B. The Smoke
    The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
  • C. The Smoke
    The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
  • D. 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.
  • E. Smokin'
    Smokin' is the blues-rock debut album by American guitarist and singer Jonny Lang, showcasing his prodigious talent at a very young age.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: All the Smoke
Triple: [Stephen Jackson, hostOf, All the Smoke]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: All the Smoke
Target entity description: 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.
  • A. 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.
  • B. The Smoke
    The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
  • C. The Smoke
    The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
  • D. 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.
  • E. Smokin'
    Smokin' is the blues-rock debut album by American guitarist and singer Jonny Lang, showcasing his prodigious talent at a very young age.
  • F. None of above. chosen

Provenance (5 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_69d85a1551a08190ba2caea7cd51c639 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03e7727a081908eff45bbc1633c8a completed April 16, 2026, 1:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff134e37d881909f373b90a99fc067 completed May 9, 2026, 10:58 a.m.
NEDg Description generation batch_69ff141b025c8190ac5ac9400ff36133 completed May 9, 2026, 11:01 a.m.
NED2 Entity disambiguation (via description) batch_69ff1519100c819083ee0342bf25d89e completed May 9, 2026, 11:06 a.m.
Created at: April 10, 2026, 3:19 a.m.