Triple

T13016519
Position Surface form Disambiguated ID Type / Status
Subject Ján Svatopluk Presl E322565 entity
Predicate familyName P18 FINISHED
Object Presl
Presl is a Czech surname most notably associated with the 19th-century scientist Ján Svatopluk Presl and his scholarly family.
 E1016681 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: Presl | Statement: [Ján Svatopluk Presl, familyName, Presl]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Presl
Context triple: [Ján Svatopluk Presl, familyName, Presl]
  • A. Pavelich
    Pavelich is a surname most notably associated with American ice hockey player Mark Pavelich, a member of the 1980 U.S. Olympic "Miracle on Ice" team.
  • B. Perica
    Perica is a common South Slavic diminutive form of the male given name Petar, often used as a familiar or affectionate nickname.
  • C. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • 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: Presl
Triple: [Ján Svatopluk Presl, familyName, Presl]
Generated description
Presl is a Czech surname most notably associated with the 19th-century scientist Ján Svatopluk Presl and his scholarly family.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Presl
Target entity description: Presl is a Czech surname most notably associated with the 19th-century scientist Ján Svatopluk Presl and his scholarly family.
  • A. Pavelich
    Pavelich is a surname most notably associated with American ice hockey player Mark Pavelich, a member of the 1980 U.S. Olympic "Miracle on Ice" team.
  • B. Perica
    Perica is a common South Slavic diminutive form of the male given name Petar, often used as a familiar or affectionate nickname.
  • C. Ilija
    Ilija is a masculine given name of Slavic origin, commonly used in countries such as Bulgaria, Serbia, and North Macedonia.
  • D. Neša
    Neša is the ancient name of the city of Kültepe, a major Bronze Age trading center and early Hittite capital in central Anatolia.
  • E. Vlatko
    Vlatko is a masculine given name commonly used in Slavic countries, particularly in North Macedonia and other parts of the Balkans.
  • 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_69d807657e8c8190bd9435ee2f823845 completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69d97ecd04748190ade2530ee5db35fe completed April 10, 2026, 10:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6c1147974819090007c21383d5c86 completed May 3, 2026, 3:29 a.m.
NEDg Description generation batch_69f6c562d10c8190b76dbf50a0101bae completed May 3, 2026, 3:47 a.m.
NED2 Entity disambiguation (via description) batch_69f6c635fc888190891a79da9d7984a0 completed May 3, 2026, 3:51 a.m.
Created at: April 9, 2026, 8:51 p.m.