Triple

T6413040
Position Surface form Disambiguated ID Type / Status
Subject Louisa James E127754 entity
Predicate givenName P17 FINISHED
Object Louisa E475254 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: Louisa | Statement: [Louisa James, givenName, Louisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisa
Context triple: [Louisa James, givenName, Louisa]
  • A. Louisa
    Louisa is the middle name of Katharine Louisa Stanley, a 19th-century English writer and member of the prominent Stanley family.
  • B. Louisa
    Louisa is a fictional character from Jean Toomer’s modernist work "Cane," representing themes of love, memory, and the complexities of African American life in the early 20th-century South.
  • C. Louisa chosen
    Louisa is a feminine given name of Germanic origin, commonly used in English-speaking countries.
  • D. Louisa Hervey
    Louisa Hervey was a British aristocrat best known as the wife of Robert Jenkinson, 2nd Earl of Liverpool, who served as Prime Minister of the United Kingdom during the early 19th century.
  • E. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • 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_69c0083723d88190b1e37b19df162c08 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c068d228208190ba05eeb7707482fe completed March 22, 2026, 10:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69c640c7946081908bb410fcf905535c completed March 27, 2026, 8:33 a.m.
Created at: March 22, 2026, 4:42 p.m.