Triple

T17616125
Position Surface form Disambiguated ID Type / Status
Subject Markus Wolf E429087 entity
Predicate birthName P65 FINISHED
Object Markus Johannes Wolf NE NERFINISHED

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: Markus Johannes Wolf | Statement: [Markus Wolf, birthName, Markus Johannes Wolf]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Markus Johannes Wolf
Context triple: [Markus Wolf, birthName, Markus Johannes Wolf]
  • A. Markus Wolf chosen
    Markus Wolf was a prominent East German spymaster who led the foreign intelligence service of the Stasi and became one of the Cold War’s most influential intelligence chiefs.
  • B. Johannes Mühlenkamp
    Johannes Mühlenkamp was a German Waffen-SS officer who commanded the 5th SS Panzer Division "Wiking" during World War II.
  • C. Matthias Maurer
    Matthias Maurer is a German ESA astronaut and materials scientist who flew to the International Space Station as part of SpaceX Crew-3.
  • D. Markus Morgenstern
    Markus Morgenstern is a mathematician known for his contributions to combinatorics and graph theory.
  • E. Reiner Haseloff
    Reiner Haseloff is a German politician from the Christian Democratic Union (CDU) who has served as the long-time head of government of the federal state of Saxony-Anhalt.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1c6148190ba76241e74688f8b completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46d32991c81909801161b0a416c94 completed April 19, 2026, 5:50 a.m.
Created at: April 10, 2026, 5:51 a.m.