Triple

T11021639
Position Surface form Disambiguated ID Type / Status
Subject Aleksandra E260502 entity
Predicate hasDiminutive P456 FINISHED
Object Sasha E40409 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: Sasha | Statement: [Aleksandra, hasDiminutive, Sasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasha
Context triple: [Aleksandra, hasDiminutive, Sasha]
  • A. Sasha
    Sasha is a renowned British DJ and record producer known for his influential role in the development of progressive house and trance music.
  • B. Sasha
    Sasha is one of the costumed cougar mascots representing the University of Houston's athletic teams, the Houston Cougars.
  • C. Sasha chosen
    Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
  • D. Sascha
    Sascha is a fictional bartender and loyal employee at Rick's Café Américain in the classic film "Casablanca."
  • E. Sasha Valentine
    Sasha Valentine is a fictional character from the British soap opera "Hollyoaks," known for her dramatic storylines involving family conflict, relationships, and personal struggles.
  • 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_69d6aa9687448190b28d353b1b6a610e completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d797bb6eec81909d8004af31f307f7 completed April 9, 2026, 12:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69e374f64b3c8190b0b55193f81d3bc5 completed April 18, 2026, 12:11 p.m.
Created at: April 8, 2026, 9:25 p.m.