Triple

T15425034
Position Surface form Disambiguated ID Type / Status
Subject Greenfield, Indiana E369486 entity
Predicate namedFor P63 FINISHED
Object John Green E712224 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: [Greenfield, Indiana, namedFor, John Green]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Green
Context triple: [Greenfield, Indiana, namedFor, John Green]
  • A. John Green
    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."
  • B. John Green chosen
    John Green was an American statesman who represented South Carolina as a delegate to the Continental Congress during the Revolutionary era.
  • 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. Veronica Roth
    Veronica Roth is an American novelist best known for writing the bestselling young adult dystopian Divergent series.
  • 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_69d85a1849f48190bf898068b2806fae completed April 10, 2026, 2:02 a.m.
NER Named-entity recognition batch_69e03ec1fb288190a3625b8e4f487dd1 completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff1a7ed0ec8190b8086f78df965b61 completed May 9, 2026, 11:29 a.m.
Created at: April 10, 2026, 3:20 a.m.