Triple

T16758435
Position Surface form Disambiguated ID Type / Status
Subject Antonín Zápotocký E407270 entity
Predicate givenName P17 FINISHED
Object Antonín
Antonín is a Czech masculine given name, historically borne by several notable figures including politicians, composers, and writers.
 E1234346 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: Antonín | Statement: [Antonín Zápotocký, givenName, Antonín]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Antonín
Context triple: [Antonín Zápotocký, givenName, Antonín]
  • A. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • B. Bohuslav
    Bohuslav is a Czech masculine given name of Slavic origin, historically borne by several notable figures including composers and politicians.
  • C. Oldřich
    Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
  • D. František
    František is a masculine given name of Czech and Slovak origin, equivalent to Francis in English.
  • E. Antonín Zápotocký
    Antonín Zápotocký was a Czechoslovak communist politician who served as both prime minister and later president during the early Cold War era.
  • 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: Antonín
Triple: [Antonín Zápotocký, givenName, Antonín]
Generated description
Antonín is a Czech masculine given name, historically borne by several notable figures including politicians, composers, and writers.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Antonín
Target entity description: Antonín is a Czech masculine given name, historically borne by several notable figures including politicians, composers, and writers.
  • A. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • B. Bohuslav
    Bohuslav is a Czech masculine given name of Slavic origin, historically borne by several notable figures including composers and politicians.
  • C. Oldřich
    Oldřich is a Czech masculine given name traditionally borne by several notable historical and cultural figures in the Czech lands.
  • D. František
    František is a masculine given name of Czech and Slovak origin, equivalent to Francis in English.
  • E. Antonín Zápotocký
    Antonín Zápotocký was a Czechoslovak communist politician who served as both prime minister and later president during the early Cold War era.
  • 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_69d8839174188190909f190097207065 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e3abea156c8190a5ee6d0028471810 completed April 18, 2026, 4:06 p.m.
NED1 Entity disambiguation (via context triple) batch_6a00b283a9808190ba76110cf3c7f3a9 completed May 10, 2026, 4:29 p.m.
NEDg Description generation batch_6a00b31a57388190b90faa66f9483661 completed May 10, 2026, 4:32 p.m.
NED2 Entity disambiguation (via description) batch_6a00b38a31e08190b92a37cb611043df completed May 10, 2026, 4:34 p.m.
Created at: April 10, 2026, 5:21 a.m.