Triple

T1878084
Position Surface form Disambiguated ID Type / Status
Subject Luise E39188 entity
Predicate hasCognate P2525 FINISHED
Object Louisa E164603 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: [Luise, hasCognate, Louisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisa
Context triple: [Luise, hasCognate, Louisa]
  • A. Louisa chosen
    Louisa is the middle name of Katharine Louisa Stanley, a 19th-century English writer and member of the prominent Stanley family.
  • B. Margaret
    Margaret is a feminine given name of Greek origin, traditionally associated with the meaning "pearl" and widely used in English-speaking countries.
  • C. Lucy Aikin
    Lucy Aikin was a prominent English historian, biographer, and writer of the late 18th and early 19th centuries, best known for her historical works on the courts of Elizabeth I and James I.
  • D. Louisa Catherine Johnson
    Louisa Catherine Johnson was the British-born wife of John Quincy Adams and First Lady of the United States from 1825 to 1829.
  • E. Agnes
    Agnes is a feminine given name of Greek origin meaning "pure" or "chaste," historically popular in various European cultures and Christian traditions.
  • 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_69a8862f7074819096afe7fe65e179e9 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0f79fbc819085c54f3189a552d9 completed March 7, 2026, 5 a.m.
NED1 Entity disambiguation (via context triple) batch_69addf59a5b48190bb4b47641681ebb7 completed March 8, 2026, 8:43 p.m.
Created at: March 4, 2026, 7:34 p.m.