Triple

T3244060
Position Surface form Disambiguated ID Type / Status
Subject Kroger E68030 entity
Predicate founder P104 FINISHED
Object Bernard Kroger E339804 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: Bernard Kroger | Statement: [Kroger, founder, Bernard Kroger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bernard Kroger
Context triple: [Kroger, founder, Bernard Kroger]
  • A. Bernard Kroger chosen
    Bernard Kroger was an American businessman and entrepreneur best known for founding the Kroger grocery store chain, which grew into one of the largest supermarket chains in the United States.
  • B. Adolf Strauss
    Adolf Strauss was a German general in the Wehrmacht who held high-level commands on the Eastern Front during World War II.
  • C. Leonhard Tietz
    Leonhard Tietz was a German entrepreneur and department store pioneer whose business eventually evolved into the modern retail chain Galeria Kaufhof.
  • D. Adolph Hegewisch
    Adolph Hegewisch was a 19th-century industrialist and land developer whose name was given to the Hegewisch neighborhood on Chicago’s far Southeast Side.
  • E. Eddie Gottlieb
    Eddie Gottlieb was a pioneering basketball coach, executive, and Hall of Famer who helped shape the early years of professional basketball in the United States.
  • 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_69ad858e4c708190aa31d486cfee8a6a completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69adaf1856708190b072efbb27920ade completed March 8, 2026, 5:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b28eb55734819093f470caacc3e29c completed March 12, 2026, 10 a.m.
Created at: March 8, 2026, 3:08 p.m.