Triple

T23357335
Position Surface form Disambiguated ID Type / Status
Subject Law Society of Alberta E593084 entity
Predicate governedBy P46 FINISHED
Object Benchers 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: Benchers | Statement: [Law Society of Alberta, governedBy, Benchers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benchers
Context triple: [Law Society of Alberta, governedBy, Benchers]
  • A. Benchers chosen
    Benchers are senior members of the Inns of Court in England and Wales who are responsible for governing and overseeing the administration, discipline, and affairs of their respective Inn.
  • B. The Bench
    The Bench is a film featuring Danish actor Jesper Christensen in a prominent role.
  • C. The Bench
    The Bench is the dedicated student cheering section for University of California, Berkeley football games, known for its energetic support and traditions during Big Game and other home matchups.
  • D. The Bench
    "The Bench" is a children's picture book by Meghan, Duchess of Sussex, that reflects on the bond between fathers and sons through a mother's perspective.
  • E. Benched
    Benched is a television series featuring Mehcad Brooks in a prominent role.
  • 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_69e25d24d2a4819092e6ede74c2a918d completed April 17, 2026, 4:17 p.m.
NER Named-entity recognition batch_69f19a18996c81909c7ad15cde616553 completed April 29, 2026, 5:41 a.m.
Created at: April 17, 2026, 5:28 p.m.