Triple

T5810140
Position Surface form Disambiguated ID Type / Status
Subject István E128847 entity
Predicate equivalentNameInPolish P15778 FINISHED
Object Stefan E477080 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: Stefan | Statement: [István, equivalentNameInPolish, Stefan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefan
Context triple: [István, equivalentNameInPolish, Stefan]
  • A. Stefan
    Stefan is the given name of Saint Simeon the Myrrh-streaming, a revered medieval Serbian ruler and Orthodox Christian saint.
  • B. Stefan chosen
    Stefan is a masculine given name of Slavic origin, commonly used in many European countries as a variant of Stephen.
  • C. Stefan Rafael Benjamin
    Stefan Rafael Benjamin was the son of the German Jewish philosopher and cultural critic Walter Benjamin.
  • D. Stefan Gregory
    Stefan Gregory is a composer best known for his film score work, including the music for the historical drama "The Dig."
  • E. Stefan Zumtaugwald
    Stefan Zumtaugwald was a 19th-century Swiss mountaineer known for participating in the first ascent of the Alpine peak Liskamm.
  • 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: equivalentNameInPolish
Context triple: [István, equivalentNameInPolish, Stefan]
  • A. equivalentTitleInPolish
    Indicates that one entity has a title in Polish that is equivalent in meaning or status to the title of another entity.
  • B. hasNameInPolish chosen
    Indicates that an entity is associated with a specific name or label expressed in the Polish language.
  • C. officialNamePolish
    Indicates the official or legally recognized name of an entity as expressed in the Polish language.
  • D. isEquivalentSurnameInPolish
    Indicates that two surnames are equivalent to each other when translated, adapted, or used in the Polish language.
  • E. hasEnglishName
    Indicates that an entity is associated with a name expressed in the English language.
  • 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_69c0084788848190bcf71f6bc5d71597 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b538cd08190a7dac378898059b9 completed March 22, 2026, 5:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0a1826cc081909572d9bf99d5f670 completed March 23, 2026, 2:12 a.m.
PD Predicate disambiguation batch_69c021d5ecd081908a62dd66e26f8598 completed March 22, 2026, 5:07 p.m.
Created at: March 22, 2026, 3:52 p.m.