Triple

T9481704
Position Surface form Disambiguated ID Type / Status
Subject Ernst Schwarz E228655 entity
Predicate hasFamilyName P18 FINISHED
Object Schwarz
Schwarz is a common German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
 E803074 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: Schwarz | Statement: [Ernst Schwarz, hasFamilyName, Schwarz]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Schwarz
Context triple: [Ernst Schwarz, hasFamilyName, Schwarz]
  • A. Schwarz
    Schwarz is a theoretical physicist best known as one of the pioneers of string theory and for his work on anomaly cancellation.
  • B. Schwaz
    Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
  • C. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • D. Schwarzhuber
    Schwarzhuber is a German surname most notably associated with Johann Schwarzhuber, an SS officer and concentration camp official during World War II.
  • E. Schwartz
    Schwartz is a common German-origin surname borne by numerous notable individuals across fields such as music, mathematics, and literature.
  • 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: Schwarz
Triple: [Ernst Schwarz, hasFamilyName, Schwarz]
Generated description
Schwarz is a common German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Schwarz
Target entity description: Schwarz is a common German surname borne by numerous notable individuals across fields such as science, politics, and the arts.
  • A. Schwarz
    Schwarz is a theoretical physicist best known as one of the pioneers of string theory and for his work on anomaly cancellation.
  • B. Schwaz
    Schwaz is a historic silver-mining town in the Austrian state of Tyrol, known for its medieval center and alpine setting.
  • C. Blau
    The Blau is a small river in the German state of Baden-Württemberg that flows through the city of Blaustein before joining the Danube.
  • D. Schwarzhuber
    Schwarzhuber is a German surname most notably associated with Johann Schwarzhuber, an SS officer and concentration camp official during World War II.
  • E. Schwartz
    Schwartz is a common German-origin surname borne by numerous notable individuals across fields such as music, mathematics, and literature.
  • 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_69ca84730a5081908de282651019bf2f completed March 30, 2026, 2:10 p.m.
NER Named-entity recognition batch_69cd804af6d08190a281cb27407c791c completed April 1, 2026, 8:30 p.m.
NED1 Entity disambiguation (via context triple) batch_69d12cfebb6c8190af3296c7bfd8b3e4 completed April 4, 2026, 3:23 p.m.
NEDg Description generation batch_69d12eba9968819085b9ec027c6e2814 completed April 4, 2026, 3:31 p.m.
NED2 Entity disambiguation (via description) batch_69d12f1ccad08190907b812a12efa65b completed April 4, 2026, 3:32 p.m.
Created at: March 30, 2026, 7:55 p.m.