Triple

T22545310
Position Surface form Disambiguated ID Type / Status
Subject Virginia Woolf E557406 entity
Predicate hasRelative P367 FINISHED
Object Laura Stephen 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: Laura Stephen | Statement: [Virginia Woolf, hasRelative, Laura Stephen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Laura Stephen
Context triple: [Virginia Woolf, hasRelative, Laura Stephen]
  • A. Laura Stephen chosen
    Laura Stephen was a member of the Stephen-Duckworth family closely connected to the early life and household of the future writer Virginia Woolf.
  • B. Laura Victor
    Laura Victor is the central female protagonist in the 1984 romantic comedy film "No Small Affair," around whom the story’s romantic and personal conflicts revolve.
  • C. Pamela Franklin
    Pamela Franklin is a British actress best known for her work as a child and young adult in 1960s and 1970s films and television, particularly in psychological horror and drama.
  • D. Laura Joyce
    Laura Joyce was a British aristocrat best known as the mother of Henry Cubitt, 2nd Baron Ashcombe, and a member of the prominent Cubitt family.
  • E. Leslie Tempest
    Leslie Tempest is the central protagonist of D. H. Lawrence’s novel "The White Peacock," around whom the story’s emotional and social conflicts revolve.
  • 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_69e11e58662081909ae346ab384514ca completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15f34a0688190ad55be067db8e21b completed April 29, 2026, 1:30 a.m.
Created at: April 16, 2026, 8:51 p.m.