Triple

T6743105
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Meyer-Lübke E154137 entity
Predicate name P16 FINISHED
Object Wilhelm Meyer-Lübke E154137 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: Wilhelm Meyer-Lübke | Statement: [Wilhelm Meyer-Lübke, name, Wilhelm Meyer-Lübke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Wilhelm Meyer-Lübke
Context triple: [Wilhelm Meyer-Lübke, name, Wilhelm Meyer-Lübke]
  • A. Wilhelm Meyer-Lübke chosen
    Wilhelm Meyer-Lübke was a prominent Swiss linguist and Romance philologist known for his influential work on the historical development of the Romance languages.
  • B. Wilhelm Barth
    Wilhelm Barth is a mathematician known for being a doctoral student of the influential German topologist Friedrich Hirzebruch.
  • C. Otto Neuhoff
    Otto Neuhoff is a German local politician who has served as the mayor of the town of Bad Honnef.
  • D. Friedrich Foertsch
    Friedrich Foertsch was a German military officer who served as a Wehrmacht general during World War II and later became a high-ranking commander in the postwar West German Bundeswehr.
  • E. Guido Keil
    Guido Keil was a son of the Portuguese composer and painter Alfredo Keil, likely associated with his father's artistic and cultural milieu.
  • 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_69c6880d84d8819095d19de2295f26ac completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d1b3b1448190a94b4b64f01af14a completed March 27, 2026, 6:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69c89a543fb08190ad72c0a1f9927122 completed March 29, 2026, 3:19 a.m.
Created at: March 27, 2026, 2:10 p.m.