Triple

T14128682
Position Surface form Disambiguated ID Type / Status
Subject Stefan Batory E340101 entity
Predicate familyName P18 FINISHED
Object Batory
Batory is a Hungarian noble family name most famously borne by Stefan Batory, the 16th-century Prince of Transylvania and King of Poland.
 E1082257 NE FINISHED

How this triple was built (4 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: Batory | Statement: [Stefan Batory, familyName, Batory]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Batory
Context triple: [Stefan Batory, familyName, Batory]
  • A. Konstanty
    Konstanty is a masculine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • B. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • C. Romanow
    Romanow is a Canadian surname most notably associated with Roy Romanow, a former premier of Saskatchewan and influential political figure.
  • D. Walery
    Walery is a masculine given name of Slavic origin, used primarily in Polish-speaking countries.
  • E. Sobieski
    Sobieski is a surname most notably associated with American screenwriter Carol Sobieski, known for her work on films such as "Annie" and "Fried Green Tomatoes."
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Batory
Triple: [Stefan Batory, familyName, Batory]
Generated description
Batory is a Hungarian noble family name most famously borne by Stefan Batory, the 16th-century Prince of Transylvania and King of Poland.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Batory
Target entity description: Batory is a Hungarian noble family name most famously borne by Stefan Batory, the 16th-century Prince of Transylvania and King of Poland.
  • A. Konstanty
    Konstanty is a masculine given name of Slavic origin, commonly used in Poland and other Central and Eastern European countries.
  • B. Tadeusz
    Tadeusz is a masculine given name of Slavic origin, particularly common in Poland.
  • C. Romanow
    Romanow is a Canadian surname most notably associated with Roy Romanow, a former premier of Saskatchewan and influential political figure.
  • D. Walery
    Walery is a masculine given name of Slavic origin, used primarily in Polish-speaking countries.
  • E. Sobieski
    Sobieski is a surname most notably associated with American screenwriter Carol Sobieski, known for her work on films such as "Annie" and "Fried Green Tomatoes."
  • F. None of above. chosen

Provenance (5 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_69d81c6a95b481909e39111e0c1f31ee completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de6098013c8190b1bac9d3fff60acd completed April 14, 2026, 3:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69fcdf0ed0a88190a7126887364fccdd completed May 7, 2026, 6:50 p.m.
NEDg Description generation batch_69fce0cc78e881909090ac42a97ebb12 completed May 7, 2026, 6:58 p.m.
NED2 Entity disambiguation (via description) batch_69fce1f53a8881909fd1258729a9879d completed May 7, 2026, 7:03 p.m.
Created at: April 9, 2026, 10:23 p.m.