Triple

T20997110
Position Surface form Disambiguated ID Type / Status
Subject Käbi Laretei E517178 entity
Predicate givenName P17 FINISHED
Object Käbi 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: Käbi | Statement: [Käbi Laretei, givenName, Käbi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Käbi
Context triple: [Käbi Laretei, givenName, Käbi]
  • A. Kaben
    Kaben is one of the islands that make up Maloelap Atoll in the Marshall Islands, a Pacific island nation.
  • B. Käbi Laretei chosen
    Käbi Laretei was an Estonian-Swedish concert pianist renowned for her interpretations of classical repertoire and for her close personal and artistic association with filmmaker Ingmar Bergman.
  • C. Kabiyesi
    Kabiyesi is a Yoruba honorific style of address reserved for paramount traditional rulers, signifying their supreme and unquestionable authority.
  • D. Kefr Akab
    Kefr Akab is a village in Syria that is twinned with the French commune of Val-de-Reuil.
  • E. Kaleibar
    Kaleibar is a small historic city in northwestern Iran known for its mountainous landscapes and proximity to the Babak Castle fortress.
  • 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_69e0b5006e2881909fc2383f841740cc completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e6fc21838081909872eed21bc12a08 completed April 21, 2026, 4:25 a.m.
Created at: April 16, 2026, 1:51 p.m.