Triple

T22238377
Position Surface form Disambiguated ID Type / Status
Subject Poems, in Two Volumes E549651 entity
Predicate hasPart P35 FINISHED
Object The Seven Sisters — NE NERFINISHED

How this triple was built (3 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: The Seven Sisters | Statement: [Poems, in Two Volumes, hasPart, The Seven Sisters]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: The Seven Sisters
Context triple: [Poems, in Two Volumes, hasPart, The Seven Sisters]
  • A. The Seven Sisters
    The Seven Sisters is a contemporary novel by British author Margaret Drabble that follows a middle-aged woman’s journey of self-discovery and reinvention amid personal upheaval.
  • B. The Seven Sisters
    The Seven Sisters is a famous series of seven cascading waterfalls located along the Geirangerfjorden in Norway, renowned for their dramatic beauty and scenic surroundings.
  • C. The Seven Sisters
    The Seven Sisters is a bestselling historical fiction novel by Lucinda Riley that launches a multi-book series inspired by the myth of the Pleiades star cluster and follows the intertwined lives of six adopted sisters.
  • D. The Seven Sisters
    The Seven Sisters is a striking chain of seven mountain peaks along Norway’s Helgeland coast, renowned for its dramatic scenery and popular hiking routes.
  • E. Seven Sisters
    Seven Sisters is a district in North London known for its diverse community, busy transport hub, and vibrant high street.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: The Seven Sisters
Target entity description: "The Seven Sisters" is a poem by William Wordsworth, included in his 1807 collection "Poems, in Two Volumes," that reflects his characteristic themes of nature, memory, and human emotion.
  • A. The Seven Sisters
    The Seven Sisters is a bestselling historical fiction novel by Lucinda Riley that launches a multi-book series inspired by the myth of the Pleiades star cluster and follows the intertwined lives of six adopted sisters.
  • B. The Seven Sisters
    The Seven Sisters is a famous series of seven cascading waterfalls located along the Geirangerfjorden in Norway, renowned for their dramatic beauty and scenic surroundings.
  • C. The Seven Sisters
    The Seven Sisters is a striking chain of seven mountain peaks along Norway’s Helgeland coast, renowned for its dramatic scenery and popular hiking routes.
  • D. The Seven Sisters
    The Seven Sisters is a contemporary novel by British author Margaret Drabble that follows a middle-aged woman’s journey of self-discovery and reinvention amid personal upheaval.
  • E. Seven Sisters
    Seven Sisters is a group of seven monumental Stalinist skyscrapers in Moscow, renowned for their distinctive wedding-cake design and dominance of the city’s skyline.
  • F. None of above. chosen

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_69e11e4102b881909cf47d3768e25c19 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f132123a048190ba5a90d7acb9aeb2 completed April 28, 2026, 10:17 p.m.
Created at: April 16, 2026, 8:38 p.m.