Triple

T6787941
Position Surface form Disambiguated ID Type / Status
Subject Change E155859 entity
Predicate hasMember P10 FINISHED
Object James Robinson E71743 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: James Robinson | Statement: [Change, hasMember, James Robinson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: James Robinson
Context triple: [Change, hasMember, James Robinson]
  • A. James Robinson chosen
    James Robinson was a civil rights activist best known as one of the founders of the Congress of Racial Equality (CORE), a key organization in the U.S. civil rights movement.
  • B. Michael Woodford
    Michael Woodford is an influential American economist best known for his work on monetary theory and policy within the New Keynesian framework, particularly through his seminal book "Interest and Prices."
  • C. James Cutler
    James Cutler is an architect best known for designing the Salem Witch Trials Memorial in Salem, Massachusetts.
  • D. Michael Rogers
    Michael Rogers is a relatively common personal name shared by multiple individuals across fields such as politics, sports, and the arts, rather than referring to one singular widely recognized figure.
  • E. Peter Barnes
    Peter Barnes was a British playwright and screenwriter known for his darkly comic, satirical works and acclaimed adaptations for stage and screen.
  • 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_69c6881770fc8190972b2906390380f5 completed March 27, 2026, 1:37 p.m.
NER Named-entity recognition batch_69c6d2907d0081908291aad66048b8b1 completed March 27, 2026, 6:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69c71a871a84819098891f66c6e5b579 completed March 28, 2026, 12:02 a.m.
Created at: March 27, 2026, 2:14 p.m.