Triple

T15509792
Position Surface form Disambiguated ID Type / Status
Subject Kristina E368674 entity
Predicate isCognateWith P2527 FINISHED
Object Kristiina E368674 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: Kristiina | Statement: [Kristina, isCognateWith, Kristiina]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kristiina
Context triple: [Kristina, isCognateWith, Kristiina]
  • A. Kristina chosen
    Kristina is a feminine given name commonly used in various European countries, often considered a variant of Christina.
  • B. Aino Kallio
    Aino Kallio was the wife of renowned Finnish poet and national romantic figure Eino Leino.
  • C. Maaria Wirkkala
    Maaria Wirkkala is a Finnish contemporary artist known for her conceptual and spatial installations, often exploring themes of perception, space, and materiality.
  • D. Aino
    Aino is a tragic maiden from Finnish mythology and the national epic Kalevala, known for her ill-fated encounter with the sage Väinämöinen and her subsequent transformation into a water spirit.
  • E. Kersti
    Kersti is a spirited sticker fairy who serves as Mario’s main companion and guide throughout the adventure in Paper Mario: Sticker Star.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e03fd008708190a3657863eb9ac626 completed April 16, 2026, 1:48 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff36702ebc81908d6a00243865de61 completed May 9, 2026, 1:28 p.m.
Created at: April 10, 2026, 3:55 a.m.