Triple

T18522170
Position Surface form Disambiguated ID Type / Status
Subject Britt Walford E452612 entity
Predicate associatedAct P37 FINISHED
Object Evergreen 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: Evergreen | Statement: [Britt Walford, associatedAct, Evergreen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Evergreen
Context triple: [Britt Walford, associatedAct, Evergreen]
  • A. Evergreen
    Evergreen is a literary imprint known for publishing innovative and influential works, particularly in avant-garde and progressive literature.
  • B. Evergreen
    Evergreen is a small city in southern Alabama that serves as the administrative and commercial center of Conecuh County.
  • C. Evergreen chosen
    Evergreen is a 1934 British musical film directed by Victor Saville, known for its blend of romance, comedy, and popular songs of the era.
  • D. Evergreen Extension
    Evergreen Extension is a rapid transit extension of Metro Vancouver’s SkyTrain system that expanded the Millennium Line service into the Tri-Cities area.
  • E. Forever Green
    Forever Green is a British television drama series from the early 1990s, starring Pauline Collins and John Alderton as a couple who leave city life behind to start anew in the countryside.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338e6e188190a41a4ee12c1ad330 completed April 19, 2026, 7:57 p.m.
Created at: April 10, 2026, 11:37 a.m.