Triple

T14831824
Position Surface form Disambiguated ID Type / Status
Subject Felix Fuld E348723 entity
Predicate associatedWithOrganization P629 FINISHED
Object Bamberger's E347198 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: Bamberger's | Statement: [Felix Fuld, associatedWithOrganization, Bamberger's]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bamberger's
Context triple: [Felix Fuld, associatedWithOrganization, Bamberger's]
  • A. Bergner's
    Bergner's was a regional American department store chain known for selling mid-range apparel, home goods, and accessories, primarily in the Midwest.
  • B. Katz's Delicatessen
    Katz's Delicatessen is a famous New York City Jewish deli on the Lower East Side, renowned for its pastrami sandwiches and iconic appearance in popular culture.
  • C. Von Maur
    Von Maur is an American upscale department store chain known for its high-end fashion, customer service, and presence in major shopping malls across the Midwest and South.
  • D. Bamberger chosen
    Bamberger is a German-origin surname notably associated with the American philanthropist and department-store co-founder Caroline Bamberger Fuld.
  • E. Hecht's
    Hecht's was a regional department store chain in the Mid-Atlantic United States, later absorbed into Macy's.
  • 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_69d822ec69008190a9232caa68836872 completed April 9, 2026, 10:06 p.m.
NER Named-entity recognition batch_69ded0748eec8190a39c94024c3a3e3e completed April 14, 2026, 11:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69fe72a6b4388190b83bdecb217b9b18 completed May 8, 2026, 11:32 p.m.
Created at: April 10, 2026, 1:52 a.m.