Triple

T2406186
Position Surface form Disambiguated ID Type / Status
Subject Taron Egerton E50280 entity
Predicate notableWork P4 FINISHED
Object The Smoke
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
 E264289 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: The Smoke | Statement: [Taron Egerton, notableWork, The Smoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Smoke
Context triple: [Taron Egerton, notableWork, The Smoke]
  • A. The Smoke
    The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
  • B. 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.
  • C. Moth Smoke
    Moth Smoke is a novel by Pakistani author Mohsin Hamid that explores class disparity, corruption, and moral decay in contemporary Lahore through the downfall of a disillusioned banker.
  • D. City of Smokestacks
    The "City of Smokestacks" is a nickname for Everett, Washington, reflecting its historic identity as an industrial and mill town dominated by lumber and paper factories.
  • E. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • 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: The Smoke
Triple: [Taron Egerton, notableWork, The Smoke]
Generated description
The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Smoke
Target entity description: The Smoke is a British television drama series centered on the lives and challenges of London firefighters.
  • A. The Smoke
    The Smoke is a dramatic work by British playwright Lucy Kirkwood, known for her sharp, socially engaged storytelling.
  • B. 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.
  • C. Moth Smoke
    Moth Smoke is a novel by Pakistani author Mohsin Hamid that explores class disparity, corruption, and moral decay in contemporary Lahore through the downfall of a disillusioned banker.
  • D. City of Smokestacks
    The "City of Smokestacks" is a nickname for Everett, Washington, reflecting its historic identity as an industrial and mill town dominated by lumber and paper factories.
  • E. The Fire
    The Fire is a Major League Soccer club based in Chicago, Illinois, known formally as Chicago Fire FC.
  • 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_69a88b0339a88190a1207333cd271cc9 completed March 4, 2026, 7:41 p.m.
NER Named-entity recognition batch_69abc8fb78408190b99fa8b4dfaaa75d completed March 7, 2026, 6:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69aeb3e95334819093923b0c36b968f2 completed March 9, 2026, 11:50 a.m.
NEDg Description generation batch_69aeb7b2d8f88190a12ce00000735fd6 completed March 9, 2026, 12:06 p.m.
NED2 Entity disambiguation (via description) batch_69aeb827504c8190bd458e79193d51cc completed March 9, 2026, 12:08 p.m.
Created at: March 4, 2026, 7:58 p.m.