Triple

T242071
Position Surface form Disambiguated ID Type / Status
Subject John W. Nordstrom E4951 entity
Predicate associatedWithBrand P2830 FINISHED
Object Nordstrom E1567 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: Nordstrom | Statement: [John W. Nordstrom, associatedWithBrand, Nordstrom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordstrom
Context triple: [John W. Nordstrom, associatedWithBrand, Nordstrom]
  • A. Nordstrom chosen
    Nordstrom is a leading American luxury department store chain known for its high-end fashion, quality customer service, and nationwide retail presence.
  • B. Bergdorf Goodman store
    Bergdorf Goodman store is a luxury department store in New York City renowned for its high-end fashion, designer brands, and iconic window displays.
  • C. Sears, Roebuck & Co.
    Sears, Roebuck & Co. was a major American retail company and mail-order catalog pioneer that became one of the largest and most influential department store chains in the United States.
  • D. Zappos
    Zappos is a major U.S.-based online retailer best known for its extensive selection of shoes and its customer-centric service culture.
  • E. Passage department store
    Passage department store is a historic and elegant shopping arcade in Saint Petersburg, Russia, renowned for its 19th-century architecture and upscale boutiques.
  • 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_69a257c3d0708190b0871c4269d273e6 completed Feb. 28, 2026, 2:49 a.m.
NER Named-entity recognition batch_69a25cee6f208190b996be4faa700910 completed Feb. 28, 2026, 3:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a379552ca081908b2c6043714f7042 completed Feb. 28, 2026, 11:25 p.m.
Created at: Feb. 28, 2026, 2:53 a.m.