Triple

T19305639
Position Surface form Disambiguated ID Type / Status
Subject Cornelis Evertsen the Elder E482819 entity
Predicate hasTitle P38 FINISHED
Object Elder NE NERFINISHED

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: Elder | Statement: [Cornelis Evertsen the Elder, hasTitle, Elder]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Elder
Context triple: [Cornelis Evertsen the Elder, hasTitle, Elder]
  • A. Elder chosen
    Elder is a title typically denoting a senior, respected, or authoritative figure within a community, organization, or group.
  • B. Older
    Older is a 1996 studio album by British singer-songwriter George Michael, noted for its mature, introspective themes and soulful, jazz-influenced sound.
  • C. Old Age
    "Old Age" is an essay reflecting on the experiences, challenges, and philosophical significance of growing old.
  • D. Senior
    Senior is an English surname most notably associated with Nassau William Senior, a 19th-century economist and early classical liberal thinker.
  • E. Oldman
    Oldman is the surname of Gary Oldman, the acclaimed English actor and filmmaker known for his versatile and intense performances across film and theater.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8e8d04d5c8190baa816986f2b1d1e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e604c84fe08190869463bdd0324160 completed April 20, 2026, 10:49 a.m.
Created at: April 10, 2026, 1:31 p.m.