Triple

T4539018
Position Surface form Disambiguated ID Type / Status
Subject Jagdverband 44 E107480 entity
Predicate notableMember P10 FINISHED
Object Walter Krupinski E45961 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: Walter Krupinski | Statement: [Jagdverband 44, notableMember, Walter Krupinski]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walter Krupinski
Context triple: [Jagdverband 44, notableMember, Walter Krupinski]
  • A. Walter Krupinski chosen
    Walter Krupinski was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front and later a senior officer in the postwar West German Air Force.
  • B. Joseph Grusinsky
    Joseph Grusinsky is a central character in the crime drama film "We Own the Night," depicted as a dedicated New York City police officer from a law-enforcement family.
  • C. August Zaleski
    August Zaleski was a Polish diplomat and politician who served as President of Poland in exile after World War II.
  • D. Stefan Czapsky
    Stefan Czapsky is an American cinematographer best known for his visually distinctive work on films such as Tim Burton’s "Edward Scissorhands" and "Batman Returns."
  • E. Ignacy Krieger
    Ignacy Krieger was a prominent 19th-century Polish photographer known for his extensive documentation of Kraków’s architecture, monuments, and everyday life.
  • 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_69bd43f922788190b7edfa294e39b178 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd57ba327c8190a7f12e14077b1fa7 completed March 20, 2026, 2:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69be4d66d4948190a095a92d0e3778ca completed March 21, 2026, 7:48 a.m.
Created at: March 20, 2026, 1:04 p.m.