Triple

T15410038
Position Surface form Disambiguated ID Type / Status
Subject Kathy McClure Southworth E368561 entity
Predicate familyName P18 FINISHED
Object Southworth E344039 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: Southworth | Statement: [Kathy McClure Southworth, familyName, Southworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Southworth
Context triple: [Kathy McClure Southworth, familyName, Southworth]
  • A. Southworth chosen
    Southworth is a surname most notably associated with Lucinda Southworth, an American researcher and the wife of Google co-founder Larry Page.
  • B. Monrow
    Monrow is an alternative spelling of the name Monroe, which is commonly used as both a surname and given name and is associated with various notable people and places.
  • C. Risley
    Risley is a village in Derbyshire, England, known for its historic buildings and rural character near the town of Sandiacre.
  • D. Risley
    Risley is a village in Cheshire, England, situated near Culcheth and known for its mix of residential areas and nearby business and science parks.
  • E. Risley
    Risley is an English-language surname of likely British origin borne by various individuals and families.
  • 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_69d85a16c68c819099c1b547fbc87b32 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03ea4f13c819085d26fd32b5dca6f completed April 16, 2026, 1:43 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff135d65988190b35392bdf1e45985 completed May 9, 2026, 10:58 a.m.
Created at: April 10, 2026, 3:20 a.m.