Triple

T16005873
Position Surface form Disambiguated ID Type / Status
Subject Paul Stastny E388215 entity
Predicate hasFamilyName P18 FINISHED
Object Stastny E388215 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: Stastny | Statement: [Paul Stastny, hasFamilyName, Stastny]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stastny
Context triple: [Paul Stastny, hasFamilyName, Stastny]
  • A. Stastny chosen
    Stastny is a surname of Central or Eastern European origin, commonly associated with families of Czech or Slovak heritage.
  • B. Šťáhlavy
    Šťáhlavy is a municipality and village in the Plzeň Region of the Czech Republic, known for its historical architecture and proximity to the city of Plzeň.
  • C. Stachka
    Stachka is a 1925 Soviet silent film directed by Sergei Eisenstein that dramatizes a factory workers’ strike and is noted for its innovative montage techniques.
  • D. Ruzinov
    Ružinov is a borough of Bratislava, Slovakia, known as a major residential and commercial district of the capital.
  • E. Stalać
    Stalać is a village in central Serbia known for its strategic location near the confluence of major rivers and important transportation routes.
  • 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_69d86dabcb7c8190b6a39d6831d2fa1b completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e157ff33d88190b5a92f7ff70b24eb completed April 16, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69ffc3dec0c0819099b9007ad0fc6fb4 completed May 9, 2026, 11:31 p.m.
Created at: April 10, 2026, 4:55 a.m.