Triple

T3866132
Position Surface form Disambiguated ID Type / Status
Subject Friedrich Robert Faehlmann E91858 entity
Predicate familyName P18 FINISHED
Object Faehlmann
Faehlmann is a surname most notably associated with Friedrich Robert Faehlmann, a prominent 19th-century Estonian writer, physician, and folklorist.
 E395954 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: Faehlmann | Statement: [Friedrich Robert Faehlmann, familyName, Faehlmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Faehlmann
Context triple: [Friedrich Robert Faehlmann, familyName, Faehlmann]
  • A. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • B. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • C. Edelmann
    Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
  • D. Gütermann
    Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
  • E. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • 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: Faehlmann
Triple: [Friedrich Robert Faehlmann, familyName, Faehlmann]
Generated description
Faehlmann is a surname most notably associated with Friedrich Robert Faehlmann, a prominent 19th-century Estonian writer, physician, and folklorist.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Faehlmann
Target entity description: Faehlmann is a surname most notably associated with Friedrich Robert Faehlmann, a prominent 19th-century Estonian writer, physician, and folklorist.
  • A. Hammann
    Hammann is a German-origin surname borne by various notable individuals in fields such as aviation, music, and academia.
  • B. Fuhse
    Fuhse is a river in Lower Saxony, Germany, that flows through several towns before joining the Aller River.
  • C. Edelmann
    Edelmann is a surname of German origin borne by various individuals across fields such as music, sports, and academia.
  • D. Gütermann
    Gütermann is a German surname most notably associated with the Gütermann family involved in industry and manufacturing, particularly in the production of sewing threads.
  • E. Hartmann
    Hartmann is a German surname borne by numerous notable individuals across fields such as music, philosophy, and aviation.
  • 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_69aed9645f348190a9868e7cef56ab7e completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aeec3b8d988190b56d42ac1521e19c completed March 9, 2026, 3:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b512410f38819089adccf0a476dd8f completed March 14, 2026, 7:46 a.m.
NEDg Description generation batch_69b512f3504c8190be940148a4f726e9 completed March 14, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69b5172b369c8190956d7c54943225cd completed March 14, 2026, 8:07 a.m.
Created at: March 9, 2026, 3:19 p.m.