Triple

T4136147
Position Surface form Disambiguated ID Type / Status
Subject George Eastman E85159 entity
Predicate familyName P18 FINISHED
Object Eastman E7853 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: Eastman | Statement: [George Eastman, familyName, Eastman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastman
Context triple: [George Eastman, familyName, Eastman]
  • A. Eastman chosen
    Eastman is a given name most notably associated with the 19th-century American painter Eastman Johnson, a co-founder of the Metropolitan Museum of Art.
  • B. Nortrup
    Nortrup is a small municipality in Lower Saxony, Germany, situated within the Artland region.
  • C. Reinold
    Reinold is a given name that functions as an alternative spelling of the name Reginald.
  • D. Phillips
    Phillips is a common English-language surname borne by numerous notable individuals across fields such as science, politics, sports, and the arts.
  • E. Kensett
    Kensett is the surname of John Frederick Kensett, a prominent 19th-century American landscape painter associated with the Hudson River School.
  • 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_69aed935ccd881909dc61f81bcdb7a78 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69af0233009881909333375d597b58b6 completed March 9, 2026, 5:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69b576c75e5c8190acc4ee72cb574432 completed March 14, 2026, 2:55 p.m.
Created at: March 9, 2026, 3:43 p.m.