Triple

T6962936
Position Surface form Disambiguated ID Type / Status
Subject Discontent and Its Civilizations E161416 entity
Predicate relatedWork P37 FINISHED
Object Moth Smoke E161414 NE FINISHED

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: Moth Smoke | Statement: [Discontent and Its Civilizations, relatedWork, Moth Smoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Moth Smoke
Context triple: [Discontent and Its Civilizations, relatedWork, Moth Smoke]
  • A. Moth Smoke chosen
    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.
  • 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. 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. Tütünler Islak
    Tütünler Islak is a renowned poetry collection by Turkish modernist poet Turgut Uyar, noted for its introspective and emotionally intense style.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69c68853cff881908439d488924a8283 completed March 27, 2026, 1:38 p.m.
NER Named-entity recognition batch_69c6daf197b0819085bd0433c8a7f716 completed March 27, 2026, 7:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7589c587c8190b97523b5ac2ab958 completed March 28, 2026, 4:27 a.m.
Created at: March 27, 2026, 2:30 p.m.