Triple

T11293897
Position Surface form Disambiguated ID Type / Status
Subject Johann Georg Wagler E267398 entity
Predicate familyName P18 FINISHED
Object Wagler
Wagler is a German surname most notably associated with Johann Georg Wagler, a 19th-century zoologist and herpetologist.
 E917672 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: Wagler | Statement: [Johann Georg Wagler, familyName, Wagler]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Wagler
Context triple: [Johann Georg Wagler, familyName, Wagler]
  • A. Wetmore
    Wetmore is a surname of English origin borne by various notable individuals, including American architect and acting Supervising Architect of the U.S. Treasury James A. Wetmore.
  • B. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • C. Sonnemann
    Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
  • D. Vogelmann
    Vogelmann is a German-language surname, likely originating as an occupational or descriptive name related to birds.
  • E. Stahlecker
    Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
  • 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: Wagler
Triple: [Johann Georg Wagler, familyName, Wagler]
Generated description
Wagler is a German surname most notably associated with Johann Georg Wagler, a 19th-century zoologist and herpetologist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Wagler
Target entity description: Wagler is a German surname most notably associated with Johann Georg Wagler, a 19th-century zoologist and herpetologist.
  • A. Wetmore
    Wetmore is a surname of English origin borne by various notable individuals, including American architect and acting Supervising Architect of the U.S. Treasury James A. Wetmore.
  • B. Bischoffen
    Bischoffen is a small municipality in the central German state of Hesse, situated in a rural area characterized by forests, hills, and nearby reservoirs.
  • C. Sonnemann
    Sonnemann is the maiden surname of Emmy Göring, the German actress who became the second wife of Nazi leader Hermann Göring.
  • D. Vogelmann
    Vogelmann is a German-language surname, likely originating as an occupational or descriptive name related to birds.
  • E. Stahlecker
    Stahlecker is a German-language surname most notably associated with Franz Walter Stahlecker, a high-ranking SS officer and Nazi official during World War II.
  • 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_69d6aac993a08190a6f36445ebaf9a43 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e98b149481909f432a6b9ef8bfbb completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e50a246a3c81909f4f1d32a1b1efeb completed April 19, 2026, 5 p.m.
NEDg Description generation batch_69e510f7bec08190989118b6e4a7fa49 completed April 19, 2026, 5:29 p.m.
NED2 Entity disambiguation (via description) batch_69e516ac8dec81909c9c1eece372189e completed April 19, 2026, 5:53 p.m.
Created at: April 8, 2026, 9:32 p.m.