Triple

T12889931
Position Surface form Disambiguated ID Type / Status
Subject Benson Fong E308331 entity
Predicate givenName P17 FINISHED
Object Benson E347631 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: Benson | Statement: [Benson Fong, givenName, Benson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benson
Context triple: [Benson Fong, givenName, Benson]
  • A. Benson
    Benson is a small town located in Johnston County, North Carolina, known for its rural character and community events.
  • B. Benson
    Benson is a historic village and civil parish in Oxfordshire, England, situated near the River Thames and known for its RAF station and traditional English countryside character.
  • C. Benson chosen
    Benson is a masculine given name of English origin, traditionally meaning "son of Ben."
  • D. Benson
    Benson is a gumball machine-headed park manager and recurring authority figure in the animated television series "Regular Show."
  • E. Benson
    Benson is a small rural town in western Vermont known for its agricultural landscape and historic New England character.
  • 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_69d7bdf7c1f0819098102569a8d8cbf5 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9714581988190afc720ffd7797860 completed April 10, 2026, 9:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6a5598ad08190bad57ccfb4e4e2b6 completed May 3, 2026, 1:31 a.m.
Created at: April 9, 2026, 5:39 p.m.