Triple

T460796
Position Surface form Disambiguated ID Type / Status
Subject Caslon E7332 entity
Predicate associatedRetailer P15062 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: [Caslon, associatedRetailer, Nordstrom]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nordstrom
Context triple: [Caslon, associatedRetailer, 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. Neiman Marcus Group
    Neiman Marcus Group is a luxury retail holding company best known for operating high-end department stores and specialty boutiques in the United States.
  • C. J. C. Penney
    J. C. Penney was an American businessman and entrepreneur best known as the founder of the JCPenney department store chain.
  • D. Myer
    Myer is a surname most notably associated with Albert J. Myer, the U.S. Army officer who founded the U.S. Army Signal Corps and pioneered military telegraphy and weather services.
  • E. Montgomery Ward
    Montgomery Ward was a pioneering American mail-order and department store retailer that became one of the largest and most influential retail chains in the United States in the late 19th and 20th centuries.
  • 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_69a2e7e5c5bc8190a1dc8178218fba40 completed Feb. 28, 2026, 1:04 p.m.
NER Named-entity recognition batch_69a2f01ec5148190b74e1727712f1163 completed Feb. 28, 2026, 1:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69a4777ac3748190989ab6a9565d2c8a completed March 1, 2026, 5:29 p.m.
Created at: Feb. 28, 2026, 1:12 p.m.