Triple

T1859124
Position Surface form Disambiguated ID Type / Status
Subject Wilhelm Ackermann E41773 entity
Predicate familyName P18 FINISHED
Object Ackermann E41773 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: Ackermann | Statement: [Wilhelm Ackermann, familyName, Ackermann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ackermann
Context triple: [Wilhelm Ackermann, familyName, Ackermann]
  • A. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • B. Kretschmann
    Kretschmann is a German surname most prominently associated with actor Thomas Kretschmann, known for his roles in international film and television.
  • C. Aitken
    Aitken is a Scottish-origin surname notably borne by Max Aitken, 1st Baron Beaverbrook, a prominent Canadian-British newspaper magnate and politician.
  • D. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • E. Wilhelm Ackermann chosen
    Wilhelm Ackermann was a German mathematician known for his work in mathematical logic and the development of the Ackermann function, one of the earliest-discovered examples of a computable but not primitive recursive function.
  • 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_69a8864a83848190a4ec02721306c511 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb0829f1481908d2b389d20827417 completed March 7, 2026, 4:58 a.m.
NED1 Entity disambiguation (via context triple) batch_69add1ce296c819093336cbaa257dfd2 completed March 8, 2026, 7:45 p.m.
Created at: March 4, 2026, 7:33 p.m.