Triple

T11794175
Position Surface form Disambiguated ID Type / Status
Subject Jindřich Matyáš Thurn E280462 entity
Predicate familyName P18 FINISHED
Object Thurn
Thurn is a noble family name most notably associated with Jindřich Matyáš Thurn, a key Bohemian military leader in the early stages of the Thirty Years' War.
 E947000 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: Thurn | Statement: [Jindřich Matyáš Thurn, familyName, Thurn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Thurn
Context triple: [Jindřich Matyáš Thurn, familyName, Thurn]
  • A. Thurnau
    Thurnau is a market town in northern Bavaria, Germany, known for its historic castle and traditional Franconian architecture.
  • B. Berlinghausen
    Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
  • C. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • D. Langenhain
    Langenhain is a district of the town Hofheim am Taunus in the German state of Hesse, known for its residential character and proximity to the Taunus hills.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • 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: Thurn
Triple: [Jindřich Matyáš Thurn, familyName, Thurn]
Generated description
Thurn is a noble family name most notably associated with Jindřich Matyáš Thurn, a key Bohemian military leader in the early stages of the Thirty Years' War.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Thurn
Target entity description: Thurn is a noble family name most notably associated with Jindřich Matyáš Thurn, a key Bohemian military leader in the early stages of the Thirty Years' War.
  • A. Thurnau
    Thurnau is a market town in northern Bavaria, Germany, known for its historic castle and traditional Franconian architecture.
  • B. Berlinghausen
    Berlinghausen is a village within the municipality of Möhnesee in North Rhine-Westphalia, Germany.
  • C. Leuenberg
    Leuenberg is a village in Switzerland known as the site where major European Protestant churches concluded the Leuenberg Agreement on church fellowship.
  • D. Langenhain
    Langenhain is a district of the town Hofheim am Taunus in the German state of Hesse, known for its residential character and proximity to the Taunus hills.
  • E. Röthlein
    Röthlein is a small municipality in the Schweinfurt district of Bavaria, Germany.
  • 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_69d6ab258b808190b1735835c841e3a4 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d8a5a082d08190a42541396a06ed98 completed April 10, 2026, 7:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69f09115c66c8190b0a3e775bdf575c1 completed April 28, 2026, 10:51 a.m.
NEDg Description generation batch_69f0bd40108c8190863a60cf01cc7201 completed April 28, 2026, 1:59 p.m.
NED2 Entity disambiguation (via description) batch_69f0ef7e9f388190b33f6c16abadfde9 completed April 28, 2026, 5:33 p.m.
Created at: April 8, 2026, 9:42 p.m.