Triple

T6787105
Position Surface form Disambiguated ID Type / Status
Subject Sattler E155835 entity
Predicate hasNotableBearer P458 FINISHED
Object Wolfgang Sattler
Wolfgang Sattler is a notable individual who shares the surname Sattler, recognized enough to be specifically identified as a bearer of that name.
 E668368 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: Wolfgang Sattler | Statement: [Sattler, hasNotableBearer, Wolfgang Sattler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wolfgang Sattler
Context triple: [Sattler, hasNotableBearer, Wolfgang Sattler]
  • A. Rolf Sattler
    Rolf Sattler is a Canadian plant morphologist and theoretical biologist known for his work on plant structure, process morphology, and the philosophy of biology.
  • B. Johann Nelböck
    Johann Nelböck was an Austrian former student best known for assassinating the philosopher Moritz Schlick in 1936.
  • C. Johann Hohenstein
    Johann Hohenstein was an early 16th-century printer known for producing works by the English Bible translator William Tyndale.
  • D. Gotthard Graubner
    Gotthard Graubner was a German painter renowned for his abstract color-space works that explored the materiality and depth of color.
  • E. Heinz Schaller
    Heinz Schaller was a German molecular biologist and entrepreneur best known for co-founding the biotechnology company Biogen.
  • 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: Wolfgang Sattler
Triple: [Sattler, hasNotableBearer, Wolfgang Sattler]
Generated description
Wolfgang Sattler is a notable individual who shares the surname Sattler, recognized enough to be specifically identified as a bearer of that name.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wolfgang Sattler
Target entity description: Wolfgang Sattler is a notable individual who shares the surname Sattler, recognized enough to be specifically identified as a bearer of that name.
  • A. Rolf Sattler
    Rolf Sattler is a Canadian plant morphologist and theoretical biologist known for his work on plant structure, process morphology, and the philosophy of biology.
  • B. Johann Nelböck
    Johann Nelböck was an Austrian former student best known for assassinating the philosopher Moritz Schlick in 1936.
  • C. Johann Hohenstein
    Johann Hohenstein was an early 16th-century printer known for producing works by the English Bible translator William Tyndale.
  • D. Gotthard Graubner
    Gotthard Graubner was a German painter renowned for his abstract color-space works that explored the materiality and depth of color.
  • E. Heinz Schaller
    Heinz Schaller was a German molecular biologist and entrepreneur best known for co-founding the biotechnology company Biogen.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2907d0081908291aad66048b8b1 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c83c364d248190a5ce03fd52de91ba completed March 28, 2026, 8:38 p.m.
NEDg Description generation batch_69c83e6bad30819094aeca19d5bcaa0c completed March 28, 2026, 8:47 p.m.
NED2 Entity disambiguation (via description) batch_69c83f1e257c8190b027a15a132bc2d1 completed March 28, 2026, 8:50 p.m.
Created at: March 27, 2026, 2:14 p.m.