Triple

T10149928
Position Surface form Disambiguated ID Type / Status
Subject Clarissa Helena Graves E232605 entity
Predicate givenName P17 FINISHED
Object Clarissa E644525 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: Clarissa | Statement: [Clarissa Helena Graves, givenName, Clarissa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Clarissa
Context triple: [Clarissa Helena Graves, givenName, Clarissa]
  • A. Clarissa chosen
    Clarissa is a minor but morally reflective character in Alexander Pope’s mock-epic poem "The Rape of the Lock," who delivers a key speech urging Belinda to value virtue over superficial beauty.
  • B. Clarissa
    Clarissa is the given first name of Clara Barton, the pioneering American nurse and founder of the American Red Cross.
  • C. Pamela
    Pamela is the given name of Pam Grier, the pioneering American actress celebrated for her iconic roles in 1970s blaxploitation films and later works like "Jackie Brown."
  • D. Marianne
    Marianne is a feminine given name of French origin that has been widely used in various cultures and is often associated with grace and classic elegance.
  • E. Marianne
    Marianne was a 19th-century Dutch princess of the House of Orange-Nassau, known for her independent spirit, unconventional personal life, and extensive patronage of the arts and architecture.
  • 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_69ca84885e48819088a31b127cf44904 completed March 30, 2026, 2:11 p.m.
NER Named-entity recognition batch_69cdec03e80c81909c813dae91c56272 completed April 2, 2026, 4:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2e6369c848190984394eedf2f07eb completed April 5, 2026, 10:46 p.m.
Created at: March 30, 2026, 9:08 p.m.