Triple

T689944
Position Surface form Disambiguated ID Type / Status
Subject Josef Bühler E13369 entity
Predicate givenName P17 FINISHED
Object Josef
Josef is a masculine given name of Hebrew origin, commonly used in many European languages as a variant of Joseph.
 E66212 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 | Statement: [Josef Bühler, givenName, Josef]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Josef
Context triple: [Josef Bühler, givenName, Josef]
  • A. Jozef
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Eduard
    Eduard was the younger son of physicist Albert Einstein, known for his promising studies in psychiatry and his lifelong struggle with schizophrenia.
  • C. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • D. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • E. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • 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
Triple: [Josef Bühler, givenName, Josef]
Generated description
Josef is a masculine given name of Hebrew origin, commonly used in many European languages as a variant of Joseph.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Josef
Target entity description: Josef is a masculine given name of Hebrew origin, commonly used in many European languages as a variant of Joseph.
  • A. Jozef chosen
    Jozef is a masculine given name of Hebrew origin, commonly used in Central and Eastern Europe as a variant of Joseph.
  • B. Eduard
    Eduard was the younger son of physicist Albert Einstein, known for his promising studies in psychiatry and his lifelong struggle with schizophrenia.
  • C. Vojtech
    Vojtech is a masculine given name of Slavic origin, commonly used in Central and Eastern Europe.
  • D. Oskar
    Oskar is a masculine given name of Germanic origin, commonly used in various European countries.
  • E. Johann
    Johann is a given name of Germanic origin commonly used in German-speaking and other European countries.
  • F. None of above.

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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a0ad379c81909003d35c63822780 completed March 1, 2026, 8:25 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7927e57d48190a9e1f34c39501680 completed March 4, 2026, 2:01 a.m.
NEDg Description generation batch_69a7930799d8819083e53b68085c7502 completed March 4, 2026, 2:03 a.m.
NED2 Entity disambiguation (via description) batch_69a793b89e38819090fd80afbb0fee96 completed March 4, 2026, 2:06 a.m.
Created at: March 1, 2026, 7:36 p.m.