Triple

T12183994
Position Surface form Disambiguated ID Type / Status
Subject The Art Assignment E290286 entity
Predicate executiveProducer P7225 FINISHED
Object John Green E268535 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: John Green | Statement: [The Art Assignment, executiveProducer, John Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Green
Context triple: [The Art Assignment, executiveProducer, John Green]
  • A. John Green
    John Green was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • B. John Green chosen
    John Green is an American author and YouTube creator best known for his bestselling young adult novels such as "The Fault in Our Stars" and "Looking for Alaska."
  • C. John Green
    John Green was a 19th-century English architect and engineer known for designing notable structures in northern England, including prominent monuments and bridges.
  • D. Stephen Chbosky
    Stephen Chbosky is an American novelist, screenwriter, and director best known for creating "The Perks of Being a Wallflower" and directing several major film adaptations.
  • E. Patrick Ness
    Patrick Ness is an acclaimed American-born British author best known for his young adult novels such as the "Chaos Walking" trilogy and "A Monster Calls."
  • 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_69d6ab64de5881908d56eb7a75c6cc69 completed April 8, 2026, 7:24 p.m.
NER Named-entity recognition batch_69d915ffe644819085f4eb64802fe349 completed April 10, 2026, 3:23 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a8a92688190867b3e7191c3f43e completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:50 p.m.