Triple

T14710548
Position Surface form Disambiguated ID Type / Status
Subject Meyer E345534 entity
Predicate hasNotableBearer P458 FINISHED
Object Conrad Ferdinand Meyer E590545 NE FINISHED

How this triple was built (2 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: Conrad Ferdinand Meyer | Statement: [Meyer, hasNotableBearer, Conrad Ferdinand Meyer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Conrad Ferdinand Meyer
Context triple: [Meyer, hasNotableBearer, Conrad Ferdinand Meyer]
  • A. Conrad Ferdinand Meyer chosen
    Conrad Ferdinand Meyer was a 19th-century Swiss poet and historical novelist known for his finely crafted narrative poems and novellas exploring moral conflict and psychological depth.
  • B. Emanuel Geibel
    Emanuel Geibel was a 19th-century German poet and dramatist renowned for his lyrical verse and influential role in shaping German literary culture.
  • C. Eduard Meyer
    Eduard Meyer was a prominent German historian and classical scholar known for his influential works on ancient history and historiography.
  • D. Walter Mehring
    Walter Mehring was a German-Jewish poet, satirist, and cabaret writer associated with the Weimar-era literary and political cabaret scene.
  • E. Friedrich Dingeldey
    Friedrich Dingeldey was a German mathematician known for his work in geometry and as an academic mentor in the early 20th century.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d822e4a8c08190a155df736bb7bc13 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69deb9814e0c8190984ac30d276499cc completed April 14, 2026, 10:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe9dba87c481908084c3cba5df3fcd completed May 9, 2026, 2:36 a.m.
Created at: April 10, 2026, 1:28 a.m.