Triple

T18701759
Position Surface form Disambiguated ID Type / Status
Subject Theodor Schwann E457269 entity
Predicate familyName P18 FINISHED
Object Schwann
Schwann is a German surname most notably associated with Theodor Schwann, a pioneering 19th-century physiologist and co-founder of cell theory.
E1338223 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: Schwann | Statement: [Theodor Schwann, familyName, Schwann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Schwann
Context triple: [Theodor Schwann, familyName, Schwann]
  • A. Schivelbein
    Schivelbein is a historic town in northwestern Poland, known today as Świdwin, situated within the Rega River basin.
  • B. Zell
    Zell is a surname most prominently associated with American billionaire real estate investor and businessman Sam Zell.
  • C. Burdinne
    Burdinne is a rural municipality in the province of Liège in Wallonia, Belgium, known for its agricultural landscape and small villages.
  • D. Forel
    Forel is a Swiss surname most notably associated with Auguste Forel, a pioneering psychiatrist, neuroanatomist, and myrmecologist.
  • E. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • 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: Schwann
Triple: [Theodor Schwann, familyName, Schwann]
Generated description
Schwann is a German surname most notably associated with Theodor Schwann, a pioneering 19th-century physiologist and co-founder of cell theory.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Schwann
Target entity description: Schwann is a German surname most notably associated with Theodor Schwann, a pioneering 19th-century physiologist and co-founder of cell theory.
  • A. Schivelbein
    Schivelbein is a historic town in northwestern Poland, known today as Świdwin, situated within the Rega River basin.
  • B. Zell
    Zell is a surname most prominently associated with American billionaire real estate investor and businessman Sam Zell.
  • C. Burdinne
    Burdinne is a rural municipality in the province of Liège in Wallonia, Belgium, known for its agricultural landscape and small villages.
  • D. Forel
    Forel is a Swiss surname most notably associated with Auguste Forel, a pioneering psychiatrist, neuroanatomist, and myrmecologist.
  • E. Sulien
    Sulien is a Welsh saint traditionally venerated as a local holy figure associated with churches in Wales.
  • 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_69d8d392aad081909fe31aa03e6e97d1 completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5671391048190bba7606f4283ca09 completed April 19, 2026, 11:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a052b36caa88190a6302741aca9eb00 completed May 14, 2026, 1:53 a.m.
NEDg Description generation batch_6a052bb371b88190a632f39c891df93b completed May 14, 2026, 1:56 a.m.
NED2 Entity disambiguation (via description) batch_6a052c7532588190bcc3e2f15fef253a completed May 14, 2026, 1:59 a.m.
Created at: April 10, 2026, 11:49 a.m.