Triple

T10106419
Position Surface form Disambiguated ID Type / Status
Subject Götz von Berlichingen E216332 entity
Predicate character P662 FINISHED
Object Lerse
Lerse is a supporting character in Johann Wolfgang von Goethe’s play "Götz von Berlichingen," known as a loyal and brave follower of the titular knight.
 E841973 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: Lerse | Statement: [Götz von Berlichingen, character, Lerse]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lerse
Context triple: [Götz von Berlichingen, character, Lerse]
  • A. Desulo
    Desulo is a mountain village in central Sardinia, Italy, known as a traditional gateway to the island’s highest peak and for its well-preserved pastoral culture and customs.
  • B. Ronse
    Ronse is a small city in western Belgium known for its textile-industry heritage and location in the hilly Flemish Ardennes.
  • C. Uhingen
    Uhingen is a small town in the German state of Baden-Württemberg, located in the Fils Valley east of Stuttgart.
  • D. Saint-Jores
    Saint-Jores is a small commune in the Manche department of northwestern France, situated in the Normandy region.
  • E. Löwenberg
    Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
  • 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: Lerse
Triple: [Götz von Berlichingen, character, Lerse]
Generated description
Lerse is a supporting character in Johann Wolfgang von Goethe’s play "Götz von Berlichingen," known as a loyal and brave follower of the titular knight.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lerse
Target entity description: Lerse is a supporting character in Johann Wolfgang von Goethe’s play "Götz von Berlichingen," known as a loyal and brave follower of the titular knight.
  • A. Desulo
    Desulo is a mountain village in central Sardinia, Italy, known as a traditional gateway to the island’s highest peak and for its well-preserved pastoral culture and customs.
  • B. Ronse
    Ronse is a small city in western Belgium known for its textile-industry heritage and location in the hilly Flemish Ardennes.
  • C. Uhingen
    Uhingen is a small town in the German state of Baden-Württemberg, located in the Fils Valley east of Stuttgart.
  • D. Saint-Jores
    Saint-Jores is a small commune in the Manche department of northwestern France, situated in the Normandy region.
  • E. Löwenberg
    Löwenberg is a town in Germany known for its cultural and municipal partnership as a twin town of Weilburg.
  • 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_69ca83d039f08190b9d10363221c69fb completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cdd0c8a0408190be886ec1013a5208 completed April 2, 2026, 2:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d2cc0572e08190a8ef4d620ac27d88 completed April 5, 2026, 8:54 p.m.
NEDg Description generation batch_69d2cd8d611c81909085b3290eb54d16 completed April 5, 2026, 9:01 p.m.
NED2 Entity disambiguation (via description) batch_69d2ce686da48190b32a2053b94f1d48 completed April 5, 2026, 9:04 p.m.
Created at: March 30, 2026, 9:03 p.m.