Triple

T992180
Position Surface form Disambiguated ID Type / Status
Subject Rebekka Karijord E21415 entity
Predicate givenName P17 FINISHED
Object Rebekka E37539 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: Rebekka | Statement: [Rebekka Karijord, givenName, Rebekka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Rebekka
Context triple: [Rebekka Karijord, givenName, Rebekka]
  • A. Rebekka Vaark
    Rebekka Vaark is a central character in Toni Morrison’s novel "A Mercy," depicted as a European immigrant wife navigating hardship, loss, and the complexities of early American colonial life on a remote farm.
  • B. Rebeca chosen
    Rebeca is a feminine given name, commonly used in Spanish- and Portuguese-speaking countries, that is a variant of the name Rebecca.
  • C. Rachele
    Rachele is an Italian given name, notably borne by Rachele Mussolini, the wife of dictator Benito Mussolini.
  • D. Johanna
    Johanna is the given name of Johanna Spyri, the Swiss author best known for creating the classic children's novel "Heidi."
  • E. Joanna
    Joanna is the first name of Joanna Newsom, an American harpist, singer-songwriter, and musician known for her intricate compositions and distinctive vocal style.
  • 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_69a493c476b48190b41fc5e793171cc6 completed March 1, 2026, 7:30 p.m.
NER Named-entity recognition batch_69a4b4c3f7b48190a31308bdc09817c6 completed March 1, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69ac5995ad6c8190a324094151442bce completed March 7, 2026, 5 p.m.
Created at: March 1, 2026, 7:41 p.m.