Triple

T21112988
Position Surface form Disambiguated ID Type / Status
Subject Fred Krupp E520218 entity
Predicate name P16 FINISHED
Object Fred Krupp 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: Fred Krupp | Statement: [Fred Krupp, name, Fred Krupp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Fred Krupp
Context triple: [Fred Krupp, name, Fred Krupp]
  • A. Fred Krupp chosen
    Fred Krupp is an American environmental leader and longtime president of the Environmental Defense Fund, known for his work on market-based solutions to climate change and pollution.
  • B. Heinrich Klopfer
    Heinrich Klopfer was a Nazi official and legal expert who participated in the planning and administration of the Holocaust.
  • C. Heinrich Spies
    Heinrich Spies is a person notable enough to be recognized as a significant bearer of the surname Spies.
  • D. Hermann Hager
    Hermann Hager was a German pharmacist and pharmaceutical chemist known for his influential reference works and contributions to pharmaceutical practice in the 19th century.
  • E. Adolf Borchers
    Adolf Borchers was a German Luftwaffe fighter ace of World War II, credited with numerous aerial victories on the Eastern Front.
  • 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_69e0b509a318819092fbbcb21d1fe603 completed April 16, 2026, 10:08 a.m.
NER Named-entity recognition batch_69e72103b3888190a19e9a40f01fb439 completed April 21, 2026, 7:02 a.m.
Created at: April 16, 2026, 2:54 p.m.