Triple

T14743463
Position Surface form Disambiguated ID Type / Status
Subject Stephanos E346406 entity
Predicate isRelatedName P3889 FINISHED
Object István E128847 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: István | Statement: [Stephanos, isRelatedName, István]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: István
Context triple: [Stephanos, isRelatedName, István]
  • A. István chosen
    István is the Hungarian given name of Stephen I of Hungary, the first Christian king and founder of the medieval Hungarian state.
  • B. Gyula
    Gyula is a Hungarian masculine given name historically borne by several notable political and cultural figures.
  • C. Lajos
    Lajos is a Hungarian masculine given name commonly used in Central and Eastern Europe.
  • D. László
    László is a Hungarian given name most famously borne by the avant-garde artist and Bauhaus teacher László Moholy-Nagy.
  • E. Imre
    Imre is a Hungarian given name most famously borne by Imre Nagy, the reformist prime minister associated with the 1956 Hungarian Revolution.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec7367a1c819081082cc355e385fa completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69fdfb93e94c8190beba605e26d4552c completed May 8, 2026, 3:04 p.m.
Created at: April 10, 2026, 1:30 a.m.