Triple

T12880265
Position Surface form Disambiguated ID Type / Status
Subject Jan Patočka E308074 entity
Predicate givenName P17 FINISHED
Object Jan
Jan is a common Czech given name traditionally used for males, equivalent to John in English.
E607174 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: Jan | Statement: [Jan Patočka, givenName, Jan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jan
Context triple: [Jan Patočka, givenName, Jan]
  • A. Jan
    Jan is the given name of the Dutch mathematician and philosopher Luitzen Egbertus Jan Brouwer, a founder of intuitionism in the foundations of mathematics.
  • B. Jan
    Jan is a fictional young soldier and one of the core members of DC Comics' World War II-era kid commando team, the Boy Commandos.
  • C. Jan
    Jan is the main character of the work "The Misunderstanding," around whom the story’s central conflicts and themes revolve.
  • D. Jan
    Jan is the Dutch given name of Jan Peter Balkenende, the former Prime Minister of the Netherlands.
  • E. Jan
    Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
  • 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: Jan
Triple: [Jan Patočka, givenName, Jan]
Generated description
Jan is a common Czech given name traditionally used for males, equivalent to John in English.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jan
Target entity description: Jan is a common Czech given name traditionally used for males, equivalent to John in English.
  • A. Jan chosen
    Jan is a common Czech given name, equivalent to "John" in English.
  • B. Jan
    Jan is a common given name used in many countries, often as a variant of John or Johannes.
  • C. Jan
    Jan is a common Dutch given name, often used as a masculine form of "John" and borne by many notable figures in the Netherlands and other Dutch-speaking regions.
  • D. Jan
    Jan is a common Scandinavian given name, particularly prevalent in Sweden and Norway, typically used as a masculine first name.
  • E. Jan
    Jan is an alternative romanization of the name Zhan, used to represent the same underlying name in different transliteration systems.
  • F. None of above.

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.