Triple

T137571
Position Surface form Disambiguated ID Type / Status
Subject Andrei E2779 entity
Predicate alternativeTransliteration P5923 FINISHED
Object Andrej E8082 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: Andrej | Statement: [Andrei, alternativeTransliteration, Andrej]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Andrej
Context triple: [Andrei, alternativeTransliteration, Andrej]
  • A. Adam Buksa
    Adam Buksa is a Polish professional footballer and striker known for his goal-scoring spells with clubs such as New England Revolution and the Poland national team.
  • B. Andrei
    Andrei is a masculine given name commonly used in Slavic and Eastern European countries, equivalent to the English name Andrew.
  • C. Miroslav Šatan
    Miroslav Šatan is a retired Slovak professional ice hockey forward best known for his long NHL career and for captaining Slovakia to the 2002 IIHF World Championship gold medal.
  • D. Andrey Yeremenko
    Andrey Yeremenko was a Soviet general and Marshal of the Soviet Union who played a key leadership role on the Eastern Front during World War II, particularly in major operations against Nazi Germany.
  • E. Andreas chosen
    Andreas is a masculine given name of Greek origin, commonly used in various European and international cultures.
  • 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_69a2521e35c08190b28e5c9f1e3c9b59 completed Feb. 28, 2026, 2:25 a.m.
NER Named-entity recognition batch_69a25b82ef94819083488d3d93fdfe6f completed Feb. 28, 2026, 3:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2bf67902c8190b4e88c70d25439e8 completed Feb. 28, 2026, 10:11 a.m.
Created at: Feb. 28, 2026, 2:31 a.m.