Triple

T1425500
Position Surface form Disambiguated ID Type / Status
Subject Katharine Louisa Stanley E30321 entity
Predicate givenName P17 FINISHED
Object Katharine E62170 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: Katharine | Statement: [Katharine Louisa Stanley, givenName, Katharine]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katharine
Context triple: [Katharine Louisa Stanley, givenName, Katharine]
  • A. Katherine
    Katherine is a regional town in Australia's Northern Territory, known as a key service and transport hub near Nitmiluk (Katherine Gorge) National Park.
  • B. Kathryn chosen
    Kathryn is a feminine given name, commonly considered a variant spelling of Katherine/Catherine.
  • C. Kathleen
    Kathleen is a feminine given name of Irish origin, derived from the name Catherine and widely used in English-speaking countries.
  • D. Kathleen
    "Kathleen" is a punk rock song by the American band Pinhead Gunpowder, known for its raw, melodic style and association with the East Bay punk scene.
  • 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_69a498fb823c8190a67ce4c4837e641a completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c4bd59148190b96f9f585e07aa0d completed March 1, 2026, 10:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69ad232534f48190b1392c2fba119b7c completed March 8, 2026, 7:20 a.m.
Created at: March 1, 2026, 8 p.m.