Triple

T17817901
Position Surface form Disambiguated ID Type / Status
Subject Jaroslav Krejčí E444894 entity
Predicate familyName P18 FINISHED
Object Krejčí
Krejčí is a Czech surname borne by various notable figures in fields such as politics, sports, and the arts.
E1289508 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: Krejčí | Statement: [Jaroslav Krejčí, familyName, Krejčí]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krejčí
Context triple: [Jaroslav Krejčí, familyName, Krejčí]
  • A. Krejčíř
    Krejčíř is a Czech surname most notably associated with Radovan Krejčíř, a convicted criminal and fugitive involved in high-profile fraud and organized crime cases.
  • B. Jirkov
    Jirkov is a small town in the northwestern Czech Republic known for its historical center and proximity to the Ore Mountains.
  • C. Libor Kašík
    Libor Kašík is a Czech professional ice hockey goaltender known for playing in the Czech Extraliga, including a notable stint with PSG Zlín.
  • D. Kramář
    Kramář is a Czech surname most notably borne by Karel Kramář, the first Prime Minister of Czechoslovakia and a prominent early 20th-century politician.
  • E. Jelínek
    Jelínek is a Czech surname commonly borne by individuals of Czech origin and appears in various cultural, academic, and professional contexts.
  • 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: Krejčí
Triple: [Jaroslav Krejčí, familyName, Krejčí]
Generated description
Krejčí is a Czech surname borne by various notable figures in fields such as politics, sports, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Krejčí
Target entity description: Krejčí is a Czech surname borne by various notable figures in fields such as politics, sports, and the arts.
  • A. Krejčíř
    Krejčíř is a Czech surname most notably associated with Radovan Krejčíř, a convicted criminal and fugitive involved in high-profile fraud and organized crime cases.
  • B. Jirkov
    Jirkov is a small town in the northwestern Czech Republic known for its historical center and proximity to the Ore Mountains.
  • C. Libor Kašík
    Libor Kašík is a Czech professional ice hockey goaltender known for playing in the Czech Extraliga, including a notable stint with PSG Zlín.
  • D. Kramář
    Kramář is a Czech surname most notably borne by Karel Kramář, the first Prime Minister of Czechoslovakia and a prominent early 20th-century politician.
  • E. Jelínek
    Jelínek is a Czech surname commonly borne by individuals of Czech origin and appears in various cultural, academic, and professional contexts.
  • 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_69d8b9f0de78819099395b14db75a8a6 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e488812df081909771d51c54c405fe completed April 19, 2026, 7:47 a.m.
NED1 Entity disambiguation (via context triple) batch_6a02ff6630a08190b907c773c77149bb completed May 12, 2026, 10:22 a.m.
NEDg Description generation batch_6a03004cb0048190bf6891754474e317 completed May 12, 2026, 10:26 a.m.
NED2 Entity disambiguation (via description) batch_6a0300bda62081908e6da214147079c2 completed May 12, 2026, 10:28 a.m.
Created at: April 10, 2026, 10:14 a.m.