Triple

T8629744
Position Surface form Disambiguated ID Type / Status
Subject Saša E204369 entity
Predicate equivalentTransliteration P75698 FINISHED
Object Sasha E40409 NE FINISHED

How this triple was built (3 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: [Saša, equivalentTransliteration, Sasha]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sasha
Context triple: [Saša, equivalentTransliteration, Sasha]
  • A. Sasha chosen
    Sasha is a common Russian diminutive form of the given name Alexander (and also Alexandra).
  • B. Sasha
    Sasha is a renowned British DJ and record producer known for his influential role in the development of progressive house and trance music.
  • C. Sasha
    Sasha is one of the costumed cougar mascots representing the University of Houston's athletic teams, the Houston Cougars.
  • D. Misha
    Misha is the bear mascot of the 1980 Moscow Summer Olympics, widely remembered for its iconic, sentimental farewell during the closing ceremony.
  • E. 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.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: equivalentTransliteration
Context triple: [Saša, equivalentTransliteration, Sasha]
  • A. alternativeTransliteration
    Indicates that one written form represents an alternative way of transliterating the same original text or name into another script or orthography.
  • B. transliterationName chosen
    Indicates that one entity is the transliterated form of another entity’s name from one writing system into another.
  • C. commonTransliterationSystem
    Indicates that two or more written forms are derived using the same standardized system for converting text from one script to another.
  • D. transliterationTarget
    Indicates that one entity is the target script or form into which another entity is transliterated.
  • E. standardTransliteration
    Indicates that one representation of text is a transliteration of another according to a recognized standard or convention.
  • F. None of above.

Provenance (4 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5730309081909a9a0256c9bf5f8f completed March 31, 2026, 11:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf5148add48190bd2849d607e46c77 completed April 3, 2026, 5:34 a.m.
PD Predicate disambiguation batch_69cc455906f8819082edd79cb4a1cf28 completed March 31, 2026, 10:06 p.m.
Created at: March 30, 2026, 6:27 p.m.