Triple

T2177818
Position Surface form Disambiguated ID Type / Status
Subject Gordon Gollob E48571 entity
Predicate name P16 FINISHED
Object Gordon Gollob E48571 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: Gordon Gollob | Statement: [Gordon Gollob, name, Gordon Gollob]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gordon Gollob
Context triple: [Gordon Gollob, name, Gordon Gollob]
  • A. Gordon Gollob chosen
    Gordon Gollob was a highly decorated German Luftwaffe fighter ace of World War II, credited with over 150 aerial victories and known for his leadership roles on the Eastern Front.
  • B. Roger Wehrli
    Roger Wehrli is a Hall of Fame American football cornerback best known for his standout career with the St. Louis Cardinals in the NFL during the 1970s.
  • C. Hugo Brunner
    Hugo Brunner is a British public servant who served as the ceremonial representative of the monarch in Oxfordshire as its Lord Lieutenant.
  • D. Sepp Klotz
    Sepp Klotz was a mountaineer known for being among the first climbers to successfully ascend Austria’s highest peak, the Grossglockner.
  • E. Ueli Maurer
    Ueli Maurer is a Swiss mathematician and computer scientist renowned for his contributions to cryptography and information security.
  • 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_69a88aa3faa48190995b233af6525815 completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbeee0a988190b0729f9070aa4503 completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5da14e3881909f0beda339599938 completed March 9, 2026, 5:41 a.m.
Created at: March 4, 2026, 7:45 p.m.