Triple

T6870885
Position Surface form Disambiguated ID Type / Status
Subject Hartwig Fischer E158540 entity
Predicate name P16 FINISHED
Object Hartwig Fischer E158540 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: Hartwig Fischer | Statement: [Hartwig Fischer, name, Hartwig Fischer]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Hartwig Fischer
Context triple: [Hartwig Fischer, name, Hartwig Fischer]
  • A. Hartwig Fischer chosen
    Hartwig Fischer is a German art historian and museum director best known for leading major cultural institutions, including serving as director of the British Museum.
  • B. Wolfgang Ehrlich
    Wolfgang Ehrlich is a notable individual who shares the Ehrlich surname, recognized enough to be specifically cited as a bearer of the name.
  • C. Eckhard Pfeiffer
    Eckhard Pfeiffer is a German-American businessman best known for serving as CEO of Compaq Computer Corporation during its rapid expansion in the 1990s.
  • D. Juergen Weigert
    Juergen Weigert is a software developer best known for his significant contributions to the GNU Screen terminal multiplexer project.
  • E. Wulf-Dieter Burwitz
    Wulf-Dieter Burwitz was the son of Heinrich Himmler’s daughter Gudrun, known primarily for his discreet but long-standing involvement in neo-Nazi and far-right circles in postwar Germany.
  • 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_69c68831e3648190a643c328122e4d43 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d8aa47f48190bc7cad3cc652f530 completed March 27, 2026, 7:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7d36cc4048190b4ce8beb4c4f7957 completed March 28, 2026, 1:11 p.m.
Created at: March 27, 2026, 2:22 p.m.