Triple

T8967988
Position Surface form Disambiguated ID Type / Status
Subject Aleksandr E214186 entity
Predicate hasDiminutive P456 FINISHED
Object Sashka E769603 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: Sashka | Statement: [Aleksandr, hasDiminutive, Sashka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sashka
Context triple: [Aleksandr, hasDiminutive, Sashka]
  • A. Sorsha
    Sorsha is a warrior princess from the fantasy film "Willow" who initially serves her evil mother Queen Bavmorda before ultimately turning against her.
  • B. Sonya
    Sonya is a central, selfless and emotionally resilient young woman in Anton Chekhov’s play "Uncle Vanya," embodying unrequited love and quiet endurance amid family turmoil.
  • C. Sonya
    Sonya is a gentle, selfless young woman in Leo Tolstoy’s novel "War and Peace," known for her unrequited love and quiet loyalty to the Rostov family.
  • D. Satine Kryze
    Satine Kryze is the pacifist Duchess of Mandalore in the Star Wars universe, prominently known for her complex relationship with Jedi Knight Obi-Wan Kenobi during the Clone Wars era.
  • E. Sashenka chosen
    Sashenka is a Russian diminutive form of the given name Aleksandr (Alexander), often used as an affectionate nickname.
  • 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_69ca839dbf608190a2f5990477115d29 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6764aca48190a5e472d1b6841886 completed April 1, 2026, 12:31 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfd0a753f8819084b952f20997c8d6 completed April 3, 2026, 2:37 p.m.
Created at: March 30, 2026, 7:01 p.m.