Triple

T18711021
Position Surface form Disambiguated ID Type / Status
Subject Κρῖσα E457512 entity
Predicate hasNameInLanguage P15 FINISHED
Object Krisa 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: Krisa | Statement: [Κρῖσα, hasNameInLanguage, Krisa]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krisa
Context triple: [Κρῖσα, hasNameInLanguage, Krisa]
  • A. Krisy
    Krisy is a diminutive or nickname commonly used for the given name Kristine.
  • B. Crisa chosen
    Crisa was an ancient Greek town near Delphi that played a central role in the First Sacred War over control of the sanctuary and its access routes.
  • C. Kirna
    Kirna is a small village located in Järva County in central Estonia.
  • D. Luti-Kriss
    Luti-Kriss was the original name of the American metalcore band Norma Jean, used during their early years before they rebranded.
  • E. Katisha
    Katisha is a formidable, older noblewoman and comic villainess in Gilbert and Sullivan’s operetta "The Mikado," known for her dramatic presence and unrequited love for Nanki-Poo.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671b34508190b6180f7d6ad50a58 completed April 19, 2026, 11:36 p.m.
Created at: April 10, 2026, 11:50 a.m.