Triple

T3517119
Position Surface form Disambiguated ID Type / Status
Subject Jim O'Rourke E74333 entity
Predicate associatedAct P37 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: [Jim O'Rourke, associatedAct, Smog]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smog
Context triple: [Jim O'Rourke, associatedAct, 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_69ad85cfb5c881909c9a2edd9d6043cc completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc31c0688190a890621a901f5f5f completed March 8, 2026, 6:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69b37e7da9c08190ab417b45339513bd completed March 13, 2026, 3:03 a.m.
Created at: March 8, 2026, 3:19 p.m.