Triple

T14734759
Position Surface form Disambiguated ID Type / Status
Subject Olie Kolzig E346174 entity
Predicate alternateName P39 FINISHED
Object Olaf Kolzig E2777 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: Olaf Kolzig | Statement: [Olie Kolzig, alternateName, Olaf Kolzig]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Olaf Kolzig
Context triple: [Olie Kolzig, alternateName, Olaf Kolzig]
  • A. Olaf Kölzig chosen
    Olaf Kölzig is a former German-Canadian NHL goaltender best known for his long, standout career with the Washington Capitals, including winning the Vezina Trophy in 2000.
  • B. Harald Kloser
    Harald Kloser is an Austrian composer and film producer best known for his scores for major Hollywood films such as "The Day After Tomorrow" and "2012."
  • C. Hannes Jaenicke
    Hannes Jaenicke is a German actor and documentary filmmaker known for his roles in film and television as well as his environmental activism.
  • D. Hannes Nikel
    Hannes Nikel was a German film editor known for his work on major German and international productions, including the war drama "Stalingrad" (1993).
  • E. Olkmar Fichtner
    Olkmar Fichtner is a German local politician who has served as the mayor of the city of Naumburg (Saale) in Saxony-Anhalt.
  • 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_69d822e6f1c88190bc494d491a907114 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69dec73114cc819088e1101b689fc70b completed April 14, 2026, 11:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69ff5f21a97c819082b59b343ef337ec completed May 9, 2026, 4:21 p.m.
Created at: April 10, 2026, 1:29 a.m.