Triple

T9396586
Position Surface form Disambiguated ID Type / Status
Subject Linda Louise Eastman E226158 entity
Predicate familyName P18 FINISHED
Object Eastman E585156 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: [Linda Louise Eastman, familyName, Eastman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastman
Context triple: [Linda Louise Eastman, familyName, Eastman]
  • A. Eastman
    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. Eastman chosen
    Eastman is a surname of English origin borne by various notable individuals across fields such as politics, arts, and social reform.
  • C. MacDermid
    MacDermid is a surname of Scottish origin, commonly regarded as a variant spelling of McDiarmid.
  • D. Wyeth
    Wyeth was a major American pharmaceutical and biotechnology company known for developing vaccines, prescription drugs, and consumer healthcare products before being acquired by Pfizer.
  • E. Perkin
    Perkin is a surname most famously associated with William Henry Perkin, the English chemist who discovered the first synthetic dye, mauveine.
  • 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_69ca842f7e3481908bf5bcf52e032dbd completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd51528b2481908ca1f1840d2594b4 completed April 1, 2026, 5:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69d10114e4d08190b4f465f9e56f9ffd completed April 4, 2026, 12:16 p.m.
Created at: March 30, 2026, 7:46 p.m.