Triple

T2187293
Position Surface form Disambiguated ID Type / Status
Subject Graceland Cemetery E49179 entity
Predicate hasNotableBurial P196 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: [Graceland Cemetery, hasNotableBurial, Marshall Field]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marshall Field
Context triple: [Graceland Cemetery, hasNotableBurial, 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. Marshall Field Wholesale Store, Chicago
    The Marshall Field Wholesale Store in Chicago was a landmark 19th-century commercial building designed by Henry Hobson Richardson, celebrated as a seminal work of Richardsonian Romanesque architecture.
  • C. R. H. Macy
    R. H. Macy was an American businessman and founder of the iconic Macy’s department store chain.
  • D. 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.
  • E. Jordan Marsh
    Jordan Marsh was a prominent New England-based department store chain that operated for over a century before being absorbed into larger retail brands.
  • 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_69a88aa72d348190a9544bb5b8a4e71d completed March 4, 2026, 7:40 p.m.
NER Named-entity recognition batch_69abbf130ef081908adb4a22f056be5b completed March 7, 2026, 6 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae5dab44008190aeb4f77b73db2b36 completed March 9, 2026, 5:42 a.m.
Created at: March 4, 2026, 7:45 p.m.