Triple

T17023803
Position Surface form Disambiguated ID Type / Status
Subject Lucinda Edmonds E413013 entity
Predicate birthNameOf P6690 FINISHED
Object Lucinda Riley E88093 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: Lucinda Riley | Statement: [Lucinda Edmonds, birthNameOf, Lucinda Riley]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Lucinda Riley
Context triple: [Lucinda Edmonds, birthNameOf, Lucinda Riley]
  • A. Lucinda Riley chosen
    Lucinda Riley was a bestselling Irish author best known for her multi-volume historical fiction series "The Seven Sisters," which achieved international acclaim.
  • B. Lucinda McCullough
    Lucinda McCullough was the wife of renowned American bridge engineer Conde McCullough, associated with his personal and family life during his career in Oregon.
  • C. Elizabeth Knapp
    Elizabeth Knapp was the mother of Elizabeth Shaw Melville, who was the wife of American novelist Herman Melville.
  • D. Francine Rivers
    Francine Rivers is a bestselling American author known for her inspirational Christian fiction novels, particularly "Redeeming Love."
  • E. Linda Howard
    Linda Howard is a fictional protagonist featured in the film "Lost in America."
  • 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_69d886cc4170819093deddc7b8b4b6a7 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3d5d2abbc81908943becf5f539fc6 completed April 18, 2026, 7:04 p.m.
NED1 Entity disambiguation (via context triple) batch_6a012ed0b78481909a11c1529db6c1cd completed May 11, 2026, 1:20 a.m.
Created at: April 10, 2026, 5:33 a.m.