Triple

T9855779
Position Surface form Disambiguated ID Type / Status
Subject Louisa May Alcott E239580 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 May Alcott, givenName, Louisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Louisa
Context triple: [Louisa May Alcott, 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. Louisa Mathew
    Louisa Mathew was the wife of British Royal Navy officer and admiral James Gambier, 1st Baron Gambier, a prominent figure in late 18th- and early 19th-century naval history.
  • 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_69ca84e6493081909cf58c8d42ea856b completed March 30, 2026, 2:12 p.m.
NER Named-entity recognition batch_69cdb39719288190adf45e7c029edd51 completed April 2, 2026, 12:08 a.m.
NED1 Entity disambiguation (via context triple) batch_69d1d5f5b6148190bcccebd0aefb4bc9 completed April 5, 2026, 3:24 a.m.
Created at: March 30, 2026, 8:35 p.m.