Triple

T17122957
Position Surface form Disambiguated ID Type / Status
Subject Louise Linder Eastman E415512 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: [Louise Linder Eastman, familyName, Eastman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Eastman
Context triple: [Louise Linder Eastman, familyName, Eastman]
  • A. Eastman chosen
    Eastman is a surname of English origin borne by various notable individuals across fields such as politics, arts, and social reform.
  • B. 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.
  • C. Eastman & Eastman
    Eastman & Eastman is a New York–based entertainment and corporate law firm best known for representing Paul McCartney and other prominent artists, co-founded by attorney Lee Eastman.
  • D. MacDermid
    MacDermid is a surname of Scottish origin, commonly regarded as a variant spelling of McDiarmid.
  • E. Haseltine
    Haseltine is a surname of English origin borne by various notable individuals, including politicians, artists, and academics.
  • 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_69d886d090cc8190a39cb94992586905 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3e80ac2cc819084fab829917c950a completed April 18, 2026, 8:22 p.m.
NED1 Entity disambiguation (via context triple) batch_6a013a1062fc8190b1c4e97f42cf3faa completed May 11, 2026, 2:08 a.m.
Created at: April 10, 2026, 5:36 a.m.