Triple

T16089717
Position Surface form Disambiguated ID Type / Status
Subject Hlavní nádraží E390328 entity
Predicate architect P184 FINISHED
Object Josef Fanta
Josef Fanta was a prominent Czech architect of the late 19th and early 20th centuries, best known for his Art Nouveau designs in Prague.
E1192873 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: Josef Fanta | Statement: [Hlavní nádraží, architect, Josef Fanta]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Josef Fanta
Context triple: [Hlavní nádraží, architect, Josef Fanta]
  • A. Ignatz Bubis
    Ignatz Bubis was a prominent German-Jewish leader and businessman who served as head of the Central Council of Jews in Germany and became a key public voice on Jewish life, remembrance of the Holocaust, and combating antisemitism in postwar Germany.
  • B. Josef Groll
    Josef Groll was a 19th-century Bavarian brewer best known for creating the world’s first pale lager, giving rise to the Pilsner style of beer.
  • C. Max Fabian
    Max Fabian is a fictional character from the 1950 film "Aged in Wood."
  • D. Franz Roubal
    Franz Roubal was a mountaineer known for making the first recorded ascent of the Polish peak Wielki Giewont.
  • E. Arthur Franz
    Arthur Franz was an American film and television actor active in the mid-20th century, known for his roles in science fiction and war movies.
  • 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: Josef Fanta
Triple: [Hlavní nádraží, architect, Josef Fanta]
Generated description
Josef Fanta was a prominent Czech architect of the late 19th and early 20th centuries, best known for his Art Nouveau designs in Prague.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Josef Fanta
Target entity description: Josef Fanta was a prominent Czech architect of the late 19th and early 20th centuries, best known for his Art Nouveau designs in Prague.
  • A. Ignatz Bubis
    Ignatz Bubis was a prominent German-Jewish leader and businessman who served as head of the Central Council of Jews in Germany and became a key public voice on Jewish life, remembrance of the Holocaust, and combating antisemitism in postwar Germany.
  • B. Josef Groll
    Josef Groll was a 19th-century Bavarian brewer best known for creating the world’s first pale lager, giving rise to the Pilsner style of beer.
  • C. Max Fabian
    Max Fabian is a fictional character from the 1950 film "Aged in Wood."
  • D. Franz Roubal
    Franz Roubal was a mountaineer known for making the first recorded ascent of the Polish peak Wielki Giewont.
  • E. Arthur Franz
    Arthur Franz was an American film and television actor active in the mid-20th century, known for his roles in science fiction and war movies.
  • 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_69d87f198bc48190a8b7e53ca15b7ead completed April 10, 2026, 4:39 a.m.
NER Named-entity recognition batch_69e1845161908190adca2af94710b2cc completed April 17, 2026, 12:52 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffe490d494819081f812811f032702 completed May 10, 2026, 1:51 a.m.
NEDg Description generation batch_69ffe63f757c81908c7dc3c5ae3075c6 completed May 10, 2026, 1:58 a.m.
NED2 Entity disambiguation (via description) batch_69ffe6b3f25481908dd4b6108b5d95c0 completed May 10, 2026, 2 a.m.
Created at: April 10, 2026, 4:59 a.m.