Triple

T5493492
Position Surface form Disambiguated ID Type / Status
Subject Mary Oliver E123756 entity
Predicate influencedBy P9 FINISHED
Object Walt Whitman E12563 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: Walt Whitman | Statement: [Mary Oliver, influencedBy, Walt Whitman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walt Whitman
Context triple: [Mary Oliver, influencedBy, Walt Whitman]
  • A. Walt Whitman
    Walt Whitman was an American character actor of the silent film era, known for his supporting roles in numerous early 20th-century motion pictures.
  • B. Walt Whitman chosen
    Walt Whitman was a pioneering 19th-century American poet and essayist best known for his groundbreaking poetry collection "Leaves of Grass," which profoundly influenced modern literature.
  • C. Whitman
    Whitman is a small town in Plymouth County, Massachusetts, known as the birthplace of the chocolate chip cookie.
  • D. Edward Dickinson
    Edward Dickinson was a prominent 19th-century Amherst lawyer, politician, and civic leader best known as the father of poet Emily Dickinson.
  • E. Carl Sandburg
    Carl Sandburg was an American poet, writer, and folklorist known for his free-verse depictions of industrial America and his celebrated biography of Abraham Lincoln.
  • 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_69bd464a2d908190869324ce176779c8 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd9281a0148190bb7a8dae9c991b9c completed March 20, 2026, 6:31 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf6c8fb5688190b29f27ce13324943 completed March 22, 2026, 4:14 a.m.
Created at: March 20, 2026, 2:10 p.m.