Triple

T16089270
Position Surface form Disambiguated ID Type / Status
Subject Jan Šindel E390317 entity
Predicate familyName P18 FINISHED
Object Šindel
Šindel is a Czech surname most notably associated with Jan Šindel, a medieval astronomer, mathematician, and physician at the court of Holy Roman Emperor Charles IV.
E1192838 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: Šindel | Statement: [Jan Šindel, familyName, Šindel]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Šindel
Context triple: [Jan Šindel, familyName, Šindel]
  • A. Sörli
    Sörli is a legendary hero in Norse mythology, known primarily as one of the avenging sons of Gudrun who participates in the slaying of King Jörmunrek in the heroic lays of the Poetic Edda.
  • B. Siodmak
    Siodmak is a German surname most notably associated with writer Curt Siodmak and his brother, film director Robert Siodmak, both influential figures in 20th-century cinema.
  • C. Söl'ring
    Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
  • D. Dehnitz
    Dehnitz is a locality within the town of Wurzen in the Free State of Saxony, Germany.
  • E. Žužemberk
    Žužemberk is a small historic town in southeastern Slovenia, known for its medieval castle and picturesque setting along the Krka River.
  • 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: Šindel
Triple: [Jan Šindel, familyName, Šindel]
Generated description
Šindel is a Czech surname most notably associated with Jan Šindel, a medieval astronomer, mathematician, and physician at the court of Holy Roman Emperor Charles IV.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Šindel
Target entity description: Šindel is a Czech surname most notably associated with Jan Šindel, a medieval astronomer, mathematician, and physician at the court of Holy Roman Emperor Charles IV.
  • A. Sörli
    Sörli is a legendary hero in Norse mythology, known primarily as one of the avenging sons of Gudrun who participates in the slaying of King Jörmunrek in the heroic lays of the Poetic Edda.
  • B. Siodmak
    Siodmak is a German surname most notably associated with writer Curt Siodmak and his brother, film director Robert Siodmak, both influential figures in 20th-century cinema.
  • C. Söl'ring
    Söl'ring is a variety of the North Frisian language traditionally spoken on the German island of Sylt.
  • D. Dehnitz
    Dehnitz is a locality within the town of Wurzen in the Free State of Saxony, Germany.
  • E. Žužemberk
    Žužemberk is a small historic town in southeastern Slovenia, known for its medieval castle and picturesque setting along the Krka River.
  • 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.