Triple

T2958157
Position Surface form Disambiguated ID Type / Status
Subject Bill Callahan E79981 entity
Predicate usedStageName P3799 FINISHED
Object Smog E16362 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: Smog | Statement: [Bill Callahan, usedStageName, Smog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smog
Context triple: [Bill Callahan, usedStageName, Smog]
  • A. Smog chosen
    Smog is the lo-fi indie rock project of American singer-songwriter Bill Callahan, known for its sparse arrangements and introspective, deadpan lyricism.
  • 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. 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.
  • 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_69ad8b1276588190a374a0b12e0f7bdf completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad992b33e081909d22a19d5064c47d completed March 8, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69b0fc8df3f481908ba71ab72e68938e completed March 11, 2026, 5:24 a.m.
Created at: March 8, 2026, 2:57 p.m.