Triple

T19976819
Position Surface form Disambiguated ID Type / Status
Subject Tom Benson E493713 entity
Predicate familyName P18 FINISHED
Object Benson 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: Benson | Statement: [Tom Benson, familyName, Benson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benson
Context triple: [Tom Benson, familyName, Benson]
  • A. 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.
  • B. Benson chosen
    Benson is a masculine given name of English origin, traditionally meaning "son of Ben."
  • C. Benson
    Benson is a small unincorporated community in Cache County, Utah, known for its rural character and proximity to agricultural lands and wetlands.
  • D. Benson
    Benson is a small town located in Johnston County, North Carolina, known for its rural character and community events.
  • E. Benson
    Benson is a gumball machine-headed park manager and recurring authority figure in the animated television series "Regular Show."
  • 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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65d1054e08190993b92b86ec5bbc8 completed April 20, 2026, 5:06 p.m.
Created at: April 11, 2026, 3:27 p.m.