Triple

T595270
Position Surface form Disambiguated ID Type / Status
Subject Marshall Field E17366 entity
Predicate name P16 FINISHED
Object Marshall Field E17366 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: Marshall Field | Statement: [Marshall Field, name, Marshall Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshall Field
Context triple: [Marshall Field, name, Marshall Field]
  • A. Marshall Field chosen
    Marshall Field was a prominent American entrepreneur and philanthropist best known as the founder of the Chicago-based Marshall Field and Company department store empire.
  • B. R. H. Macy
    R. H. Macy was an American businessman and founder of the iconic Macy’s department store chain.
  • C. Merchandise Mart
    Merchandise Mart is a massive commercial building and design center in downtown Chicago, historically one of the world’s largest buildings and a key hub for wholesale showrooms and offices.
  • D. 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.
  • E. 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.
  • 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_69a49379d09c8190ac7e00b24e2810b1 completed March 1, 2026, 7:28 p.m.
NER Named-entity recognition batch_69a49bd280ac8190b6a530ce73da85c8 completed March 1, 2026, 8:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69a51f36ab388190a418f6d4ffe91d66 completed March 2, 2026, 5:25 a.m.
Created at: March 1, 2026, 7:33 p.m.