Triple

T12879318
Position Surface form Disambiguated ID Type / Status
Subject Cushman K. Davis E308047 entity
Predicate givenName P17 FINISHED
Object Cushman E308047 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: Cushman | Statement: [Cushman K. Davis, givenName, Cushman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cushman
Context triple: [Cushman K. Davis, givenName, Cushman]
  • A. Cushman chosen
    Cushman is a masculine given name most notably borne by Cushman K. Davis, a 19th-century American politician and U.S. Senator from Minnesota.
  • B. Taubman
    Taubman is a surname most prominently associated with A. Alfred Taubman, the influential American real estate developer and philanthropist known for pioneering the modern shopping mall.
  • C. Tishman
    Tishman is a prominent American real estate family name associated with major development and construction firms, particularly in New York City.
  • D. Crouse
    Crouse is a surname most notably associated with American actress Lindsay Crouse and her family.
  • E. Newmark
    Newmark is a prominent commercial real estate services firm known for brokerage, property management, and advisory work on landmark buildings and major properties.
  • 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_69d7bdf69bc48190af6c2621f28ca351 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d970fc1e488190a0c48039f6213e62 completed April 10, 2026, 9:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69f69bba33c081909c0050ff7b868a8e completed May 3, 2026, 12:50 a.m.
Created at: April 9, 2026, 5:39 p.m.