Triple

T2588995
Position Surface form Disambiguated ID Type / Status
Subject George Pullman E58073 entity
Predicate familyName P18 FINISHED
Object Pullman E50467 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: Pullman | Statement: [George Pullman, familyName, Pullman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pullman
Context triple: [George Pullman, familyName, Pullman]
  • A. 600 Pullman
    The 600 Pullman is a legendary ultra-luxury limousine produced by Mercedes-Benz in the 1960s and 1970s, renowned for its advanced engineering, opulent appointments, and frequent use by heads of state and celebrities.
  • B. Pullman, Chicago chosen
    Pullman, Chicago is a historic South Side neighborhood known for its 19th-century planned industrial community and landmark architecture tied to the Pullman Palace Car Company.
  • C. Pullman-Standard
    Pullman-Standard was a major American railcar manufacturer known for producing a wide range of passenger and freight cars throughout the 20th century.
  • D. Butterfield
    Butterfield is an English-origin surname borne by various notable individuals across politics, sports, and the arts.
  • E. Acela
    Acela is Amtrak’s high-speed train service in the Northeast Corridor, known for providing the fastest intercity rail travel in the United States between cities like Boston, New York, and Washington, D.C.
  • 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_69ab4ac019c8819094add11c46706e32 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd3fd1d608190a0cf0d12a9e6ce59 completed March 7, 2026, 7:30 a.m.
NED1 Entity disambiguation (via context triple) batch_69af658782f88190a83a4f7256d6a7b2 completed March 10, 2026, 12:27 a.m.
Created at: March 6, 2026, 9:49 p.m.