Triple

T3507341
Position Surface form Disambiguated ID Type / Status
Subject Salzmann E74106 entity
Predicate hasNotableBearer P458 FINISHED
Object Felix Salzmann
Felix Salzmann is an individual notable enough to be recognized as a distinguished bearer of the Salzmann surname.
E379470 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: Felix Salzmann | Statement: [Salzmann, hasNotableBearer, Felix Salzmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Felix Salzmann
Context triple: [Salzmann, hasNotableBearer, Felix Salzmann]
  • A. Christian Leumann
    Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
  • B. Bernhard Wicki
    Bernhard Wicki was an Austrian-Swiss film director and actor best known for his anti-war films and his co-direction of the World War II epic "The Longest Day."
  • C. Christoph Riggenbach
    Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
  • D. Johann Huber
    Johann Huber is a relatively common German-language personal name shared by several notable individuals across fields such as theology, politics, and academia.
  • E. Alexander Zuntz
    Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
  • 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: Felix Salzmann
Triple: [Salzmann, hasNotableBearer, Felix Salzmann]
Generated description
Felix Salzmann is an individual notable enough to be recognized as a distinguished bearer of the Salzmann surname.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Felix Salzmann
Target entity description: Felix Salzmann is an individual notable enough to be recognized as a distinguished bearer of the Salzmann surname.
  • A. Christian Leumann
    Christian Leumann is a Swiss chemist and academic leader who serves as the rector of the University of Bern.
  • B. Bernhard Wicki
    Bernhard Wicki was an Austrian-Swiss film director and actor best known for his anti-war films and his co-direction of the World War II epic "The Longest Day."
  • C. Christoph Riggenbach
    Christoph Riggenbach was a Swiss architect known for designing the Kunstmuseum Basel, one of the oldest public art collections in the world.
  • D. Johann Huber
    Johann Huber is a relatively common German-language personal name shared by several notable individuals across fields such as theology, politics, and academia.
  • E. Alexander Zuntz
    Alexander Zuntz was an early New York financier and broker who was among the founding figures of what became the New York Stock Exchange.
  • 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_69ad85ce7a9c81909ddc5cf0cb67a6e3 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adbc0b635c81909bc95ba2562d8f94 completed March 8, 2026, 6:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3718bd88190bec2f4cfda0010ae completed March 14, 2026, 2:09 a.m.
NEDg Description generation batch_69b4c4842860819096564ca5c44ccc7f completed March 14, 2026, 2:14 a.m.
NED2 Entity disambiguation (via description) batch_69b4c5295738819095878833d65b63f5 completed March 14, 2026, 2:17 a.m.
Created at: March 8, 2026, 3:18 p.m.