Triple

T21374062
Position Surface form Disambiguated ID Type / Status
Subject Linda Evans E527147 entity
Predicate givenName P17 FINISHED
Object Linda NE NERFINISHED

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: Linda | Statement: [Linda Evans, givenName, Linda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Linda
Context triple: [Linda Evans, givenName, Linda]
  • A. Linda chosen
    Linda is a feminine given name of Germanic origin that became widely used in English-speaking countries in the 20th century.
  • B. Linda
    Linda is a supporting character in the film "The Pursuit of Happyness," depicted as Chris Gardner’s struggling and increasingly distant partner amid the family’s financial hardships.
  • C. Linda
    Linda is a central figure in Estonian mythology and folklore, best known as the wife of Kalev and mother of the hero Kalevipoeg.
  • D. Linda
    Linda is a Polish surname most notably borne by actor and director Bogusław Linda.
  • E. Linda
    Linda is a central character in Willy Russell’s play "Blood Brothers," known as the childhood friend and later love interest of twins Mickey and Edward Johnstone.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e0b51e80808190ba5cb05667af02a9 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e8b0b248508190aebeb671e55198da completed April 22, 2026, 11:27 a.m.
Created at: April 16, 2026, 5:10 p.m.