Triple

T23144184
Position Surface form Disambiguated ID Type / Status
Subject Brian Swimme E577540 entity
Predicate coAuthorWith P398 FINISHED
Object John Grim 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: John Grim | Statement: [Brian Swimme, coAuthorWith, John Grim]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: John Grim
Context triple: [Brian Swimme, coAuthorWith, John Grim]
  • A. John Grim chosen
    John Grim is a scholar of religion and ecology known for his work on Indigenous traditions and his collaboration with Thomas Berry in developing the field of religious environmentalism.
  • B. Charles Magnusson
    Charles Magnusson was a pioneering Swedish film producer and studio executive who played a key role in the early development of Scandinavian cinema.
  • C. Wigald Boning
    Wigald Boning is a German comedian, actor, and television presenter known for his work in sketch comedy, film, and various entertainment shows.
  • D. Runar Eliassen
    Runar Eliassen is a person notable enough to be recognized as a distinguished bearer of the Eliassen surname.
  • E. Gunnar Cauthery
    Gunnar Cauthery is an actor best known for his role in the television series "Mars."
  • 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_69e245f8e6248190ba3d58e068b4dccb completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18ecc3710819088ac5d72dad0459a completed April 29, 2026, 4:53 a.m.
Created at: April 17, 2026, 4 p.m.