Triple

T4985434
Position Surface form Disambiguated ID Type / Status
Subject Jagdgeschwader 53 E111989 entity
Predicate notableCommander P1197 FINISHED
Object Heinz Bär E849319 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: Heinz Bär | Statement: [Jagdgeschwader 53, notableCommander, Heinz Bär]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Heinz Bär
Context triple: [Jagdgeschwader 53, notableCommander, Heinz Bär]
  • A. Heinz Bär chosen
    Heinz Bär was a highly decorated German Luftwaffe fighter ace of World War II, credited with over 200 aerial victories and known for his later command of elite jet fighter units.
  • B. Heinz Bühler
    Heinz Bühler is a notable individual who shares the German surname Bühler, recognized as a distinguished bearer of that name.
  • C. Heinz Brückner
    Heinz Brückner was a Nazi official who was prosecuted as a defendant in the post-World War II RuSHA Trial for his involvement in racial and settlement policies of the SS.
  • D. Heinz Emigholz
    Heinz Emigholz is a German filmmaker and artist best known for his experimental films and architectural documentaries.
  • E. Rudolf Bayer
    Rudolf Bayer is a German computer scientist best known for pioneering balanced tree data structures, including the B-tree, which have become fundamental in database and file system design.
  • 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_69bd441be7bc8190b530362d427b97d2 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd725766d88190b6fda860a005ce4e completed March 20, 2026, 4:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5b744b534819095b272ba8943f7b7 completed April 20, 2026, 5:19 a.m.
Created at: March 20, 2026, 1:33 p.m.