Triple

T20953362
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth Bishop E516034 entity
Predicate influencedBy P9 FINISHED
Object Marianne Moore 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: Marianne Moore | Statement: [Elizabeth Bishop, influencedBy, Marianne Moore]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marianne Moore
Context triple: [Elizabeth Bishop, influencedBy, Marianne Moore]
  • A. Marianne Moore chosen
    Marianne Moore was an influential American modernist poet known for her precise language, innovative verse forms, and keenly observant, often witty explorations of nature and morality.
  • B. Amy Lowell
    Amy Lowell was an American poet of the early 20th century, associated with the Imagist movement and known for her vivid free-verse poetry and literary criticism.
  • C. Lenore Stevens
    Lenore Stevens is an American actress best known for her marriage to Emmy-winning actor Richard Mulligan.
  • D. Sitwell
    Sitwell is an English surname most famously associated with the literary Sitwell family, including poet Edith Sitwell.
  • E. Laura Riding
    Laura Riding was an influential 20th-century American poet, critic, and thinker known for her innovative approach to language and her collaboration with poet Robert Graves.
  • 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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fae154a481909f235165a46d0910 completed April 21, 2026, 4:19 a.m.
Created at: April 16, 2026, 1:27 p.m.