Triple

T12880266
Position Surface form Disambiguated ID Type / Status
Subject Jan Patočka E308074 entity
Predicate familyName P18 FINISHED
Object Patočka
Patočka is a Czech surname most notably borne by the influential 20th-century philosopher Jan Patočka.
 E1007843 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: Patočka | Statement: [Jan Patočka, familyName, Patočka]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Patočka
Context triple: [Jan Patočka, familyName, Patočka]
  • A. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • B. Ondrík
    Ondrík is a Slovak diminutive form of the male given name Ondrej, used as an affectionate or familiar variant.
  • C. Slavoj Trebišov
    Slavoj Trebišov is a Slovak football club based in the town of Trebišov that competes in the country’s league system.
  • D. Slavoj
    Slavoj is a masculine given name of Slavic origin, best known as the first name of Slovenian philosopher and cultural critic Slavoj Žižek.
  • E. Havel
    The Havel is a river in northeastern Germany that flows through Berlin and Brandenburg before joining the Elbe.
  • 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: Patočka
Triple: [Jan Patočka, familyName, Patočka]
Generated description
Patočka is a Czech surname most notably borne by the influential 20th-century philosopher Jan Patočka.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Patočka
Target entity description: Patočka is a Czech surname most notably borne by the influential 20th-century philosopher Jan Patočka.
  • A. Havlíček
    Havlíček is a Czech surname most famously associated with basketball Hall of Famer John Havlicek and several notable Czech cultural and public figures.
  • B. Ondrík
    Ondrík is a Slovak diminutive form of the male given name Ondrej, used as an affectionate or familiar variant.
  • C. Slavoj Trebišov
    Slavoj Trebišov is a Slovak football club based in the town of Trebišov that competes in the country’s league system.
  • D. Slavoj
    Slavoj is a masculine given name of Slavic origin, best known as the first name of Slovenian philosopher and cultural critic Slavoj Žižek.
  • E. Havel
    The Havel is a river in northeastern Germany that flows through Berlin and Brandenburg before joining the Elbe.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bba33c081909c0050ff7b868a8e completed May 3, 2026, 12:50 a.m.
NEDg Description generation batch_69f69df1032881909255e506ddfd9c9f completed May 3, 2026, 12:59 a.m.
NED2 Entity disambiguation (via description) batch_69f69ea645a0819095edc112b9ed9bff completed May 3, 2026, 1:02 a.m.
Created at: April 9, 2026, 5:39 p.m.