Triple

T19567089
Position Surface form Disambiguated ID Type / Status
Subject Christian Tychsen E489611 entity
Predicate familyName P18 FINISHED
Object Tychsen
Tychsen is a German-origin surname associated with several notable figures, including scholars and public officials.
E1385669 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: Tychsen | Statement: [Christian Tychsen, familyName, Tychsen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tychsen
Context triple: [Christian Tychsen, familyName, Tychsen]
  • A. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • B. Ernstthal
    Ernstthal is a small town in Saxony, Germany, best known as the birthplace of the popular adventure novelist Karl May.
  • C. Torysky
    Torysky is a small village and municipality located in the Levoča District of the Prešov Region in eastern Slovakia.
  • D. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • E. Tjuchem
    Tjuchem is a small village in the province of Groningen in the Netherlands, known for its rural character and agricultural surroundings.
  • 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: Tychsen
Triple: [Christian Tychsen, familyName, Tychsen]
Generated description
Tychsen is a German-origin surname associated with several notable figures, including scholars and public officials.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tychsen
Target entity description: Tychsen is a German-origin surname associated with several notable figures, including scholars and public officials.
  • A. Trichardt
    Trichardt is a small town in Mpumalanga, South Africa, known for its close association with the nearby industrial and coal-mining hub of Secunda.
  • B. Ernstthal
    Ernstthal is a small town in Saxony, Germany, best known as the birthplace of the popular adventure novelist Karl May.
  • C. Torysky
    Torysky is a small village and municipality located in the Levoča District of the Prešov Region in eastern Slovakia.
  • D. Tettenweis
    Tettenweis is a small Bavarian village in Germany known as the birthplace of the Symbolist painter Franz von Stuck.
  • E. Tjuchem
    Tjuchem is a small village in the province of Groningen in the Netherlands, known for its rural character and agricultural surroundings.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63f784ff88190a515c78429de3caf completed April 20, 2026, 3 p.m.
NED1 Entity disambiguation (via context triple) batch_6a075f08e5b481908459a354bab00b6f completed May 15, 2026, 5:59 p.m.
NEDg Description generation batch_6a07601bb12c81909faab959182b1863 completed May 15, 2026, 6:04 p.m.
NED2 Entity disambiguation (via description) batch_6a07613541688190821fd97e069691a5 completed May 15, 2026, 6:08 p.m.
Created at: April 10, 2026, 1:42 p.m.