Triple

T10721925
Position Surface form Disambiguated ID Type / Status
Subject Adam Holender E252842 entity
Predicate workedOn P3 FINISHED
Object Smoke E622138 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: Smoke | Statement: [Adam Holender, workedOn, Smoke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Smoke
Context triple: [Adam Holender, workedOn, Smoke]
  • A. Smoke
    Smoke is a large-scale modern sculpture by American artist Tony Smith, renowned for its monumental geometric form and prominent installation at the Los Angeles County Museum of Art.
  • B. Smoke chosen
    Smoke is a 1995 independent film directed by Wayne Wang and written by Paul Auster, known for its interwoven, character-driven stories set around a Brooklyn cigar shop.
  • C. Smoke Stack
    Smoke Stack is a 1963 avant-garde jazz album by pianist Andrew Hill, noted for its innovative compositions and unconventional dual-bass lineup.
  • D. Cigaret
    Cigaret is a brash, young hobo who serves as a central foil and apprentice figure to the seasoned drifter A No. 1 in the 1973 film "Emperor of the North."
  • E. 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.
  • 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_69d6aa5d8be481909a43218b2bfdbe95 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d70d43655081909b071100c96cb4f6 completed April 9, 2026, 2:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69dbb738f8488190837a675b82ce75aa completed April 12, 2026, 3:16 p.m.
Created at: April 8, 2026, 9:13 p.m.