Triple

T9447487
Position Surface form Disambiguated ID Type / Status
Subject Jindřich Fügner E227799 entity
Predicate familyName P18 FINISHED
Object Fügner
Fügner is a Czech surname most notably associated with Jindřich Fügner, a key figure in the Czech Sokol movement.
 E799481 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: Fügner | Statement: [Jindřich Fügner, familyName, Fügner]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Fügner
Context triple: [Jindřich Fügner, familyName, Fügner]
  • A. Fager
    Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
  • B. Johan Martin Ferner
    Johan Martin Ferner was a Norwegian businessman and former Olympic sailor best known as the husband of Princess Astrid of Norway.
  • C. Frits
    Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
  • D. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • E. Hellerud
    Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
  • 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: Fügner
Triple: [Jindřich Fügner, familyName, Fügner]
Generated description
Fügner is a Czech surname most notably associated with Jindřich Fügner, a key figure in the Czech Sokol movement.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Fügner
Target entity description: Fügner is a Czech surname most notably associated with Jindřich Fügner, a key figure in the Czech Sokol movement.
  • A. Fager
    Fager is a surname most notably associated with American television producer and former CBS News chairman Jeff Fager.
  • B. Johan Martin Ferner
    Johan Martin Ferner was a Norwegian businessman and former Olympic sailor best known as the husband of Princess Astrid of Norway.
  • C. Frits
    Frits is a Dutch given name most notably borne by Frits Bolkestein, a prominent Dutch politician and former European Commissioner.
  • D. Fiser
    Fiser is a surname variant of Fischer, commonly associated with Central or Eastern European origins.
  • E. Hellerud
    Hellerud is a residential neighborhood in Oslo, Norway, known for its hillside location and proximity to green areas and public transport.
  • 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_69ca8439f8bc8190997f2ef40c9f0bc2 completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd7f62dfa48190bf318777d97f0f2a completed April 1, 2026, 8:26 p.m.
NED1 Entity disambiguation (via context triple) batch_69d1106aeb708190bbbe1d05b7472194 completed April 4, 2026, 1:21 p.m.
NEDg Description generation batch_69d111213e9081909865b086681d1bbd completed April 4, 2026, 1:24 p.m.
NED2 Entity disambiguation (via description) batch_69d111ab40a48190bb77c1cf80ef87a8 completed April 4, 2026, 1:27 p.m.
Created at: March 30, 2026, 7:51 p.m.