Triple

T20390089
Position Surface form Disambiguated ID Type / Status
Subject John Lurie E498060 entity
Predicate starredIn P1668 FINISHED
Object Painting with John 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: Painting with John | Statement: [John Lurie, starredIn, Painting with John]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Painting with John
Context triple: [John Lurie, starredIn, Painting with John]
  • A. Painting with John chosen
    Painting with John is an offbeat, meditative HBO series in which artist and musician John Lurie shares philosophical musings while painting and reflecting on life.
  • B. Painting with Joan
    "Painting with Joan" is a short film by American filmmaker Jack Henry Robbins, known for its offbeat, comedic style.
  • C. Painten
    Painten is a small municipality in the district of Kelheim in the German state of Bavaria.
  • D. Five Painters
    Five Painters is the English title of the woodcut print "Cinq peintres," a work associated with early 20th-century European art.
  • E. Painting Pictures
    Painting Pictures is the debut studio album by American rapper Kodak Black, featuring his breakout hit "Tunnel Vision" and solidifying his presence in mainstream hip-hop.
  • 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_69e0b4a71ebc8190b153a36c738730f4 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6790e65a081909832855758fffd14 completed April 20, 2026, 7:05 p.m.
Created at: April 16, 2026, 11:28 a.m.