Triple

T3050653
Position Surface form Disambiguated ID Type / Status
Subject Miroslav Šatan E83560 entity
Predicate familyName P18 FINISHED
Object Šatan E83560 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: Šatan | Statement: [Miroslav Šatan, familyName, Šatan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šatan
Context triple: [Miroslav Šatan, familyName, Šatan]
  • A. Šatan chosen
    Šatan is a Slovak surname most famously borne by Miroslav Šatan, a prominent former professional ice hockey player and national team star.
  • B. the Devil
    The Devil is a supernatural embodiment of evil and temptation, commonly depicted in religious and literary traditions as a powerful adversary who bargains for human souls.
  • C. SATAN
    SATAN is an early network security scanner tool that automated the process of finding vulnerabilities in Unix systems.
  • D. Moloch
    Moloch is an ancient Near Eastern deity often associated with child sacrifice and later demonized in Jewish, Christian, and modern cultural traditions.
  • E. El Diablo
    El Diablo is the famous nickname of Bolivian football legend Marco Etcheverry, a creative attacking midfielder renowned for his playmaking skills.
  • 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_69ad8b24924c8190a9bb6f61d519e4ae completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69ad9bb1a46081908547a2f27cbf3446 completed March 8, 2026, 3:54 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1eefa84f08190a178cc0674d8a3ab completed March 11, 2026, 10:38 p.m.
Created at: March 8, 2026, 3:01 p.m.