Triple

T20782802
Position Surface form Disambiguated ID Type / Status
Subject Dim Lights, Thick Smoke E511541 entity
Predicate hasTitle P38 FINISHED
Object Dim Lights, Thick 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: Dim Lights, Thick Smoke | Statement: [Dim Lights, Thick Smoke, hasTitle, Dim Lights, Thick Smoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dim Lights, Thick Smoke
Context triple: [Dim Lights, Thick Smoke, hasTitle, Dim Lights, Thick Smoke]
  • A. Dim Lights, Thick Smoke chosen
    "Dim Lights, Thick Smoke" is a song recorded by Dwight Yoakam, known for its classic honky-tonk style and inclusion on his album "3 Pears."
  • B. Where There's Smoke...
    "Where There's Smoke..." is a 1998 studio album by American singer-songwriter and producer Smokey Robinson.
  • C. Smoke Machine
    "Smoke Machine" is a house music track by British electronic duo X-Press 2, known for its club-oriented production and role in their early 2000s success.
  • 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_69e0b4cac7a48190a715cb3d545df2b4 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c28870e481909e7cbcdd6d4bc247 completed April 21, 2026, 12:19 a.m.
Created at: April 16, 2026, 12:38 p.m.