Triple

T17523764
Position Surface form Disambiguated ID Type / Status
Subject Alan Le May E426741 entity
Predicate wrote P2831 FINISHED
Object Smoky Joe (novel)
Smoky Joe is a Western novel by American author Alan Le May, best known for its vivid frontier setting and character-driven storytelling.
 E1274478 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: Smoky Joe (novel) | Statement: [Alan Le May, wrote, Smoky Joe (novel)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Smoky Joe (novel)
Context triple: [Alan Le May, wrote, Smoky Joe (novel)]
  • A. The Smoker
    The Smoker is a genre painting by Dutch Golden Age artist Adriaen van Ostade, depicting a rustic figure enjoying a pipe in a tavern-like interior.
  • 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 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.
  • D. The Smoke
    The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
  • E. 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.
  • 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: Smoky Joe (novel)
Triple: [Alan Le May, wrote, Smoky Joe (novel)]
Generated description
Smoky Joe is a Western novel by American author Alan Le May, best known for its vivid frontier setting and character-driven storytelling.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Smoky Joe (novel)
Target entity description: Smoky Joe is a Western novel by American author Alan Le May, best known for its vivid frontier setting and character-driven storytelling.
  • A. The Smoker
    The Smoker is a genre painting by Dutch Golden Age artist Adriaen van Ostade, depicting a rustic figure enjoying a pipe in a tavern-like interior.
  • 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 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.
  • D. The Smoke
    The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
  • E. 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.
  • 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_69d889de677081909b22d2657b1f0292 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e452d4db60819096a03dbc4254850f completed April 19, 2026, 3:58 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01c9452ab08190a0539964b1b90f86 completed May 11, 2026, 12:19 p.m.
NEDg Description generation batch_6a01cabea2b48190a690b17a88d45b40 completed May 11, 2026, 12:25 p.m.
NED2 Entity disambiguation (via description) batch_6a01cefa08f8819086cb86ce22193baa completed May 11, 2026, 12:43 p.m.
Created at: April 10, 2026, 5:49 a.m.