Triple

T21543296
Position Surface form Disambiguated ID Type / Status
Subject Brent E531547 entity
Predicate hasGivenName P17 FINISHED
Object Brent 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: Brent | Statement: [Brent, hasGivenName, Brent]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Brent
Context triple: [Brent, hasGivenName, Brent]
  • A. Brent
    Brent is a London borough in northwest London, known for landmarks such as Wembley Stadium and its diverse residential communities.
  • B. Brent chosen
    Brent is a masculine given name of Old English origin, commonly used in English-speaking countries.
  • C. Brentson
    Brentson is a masculine given name most notably borne by former NFL defensive tackle and coach Brentson Buckner.
  • D. Ardroil
    Ardroil is a coastal settlement on the Isle of Lewis in Scotland’s Outer Hebrides, noted for its scenic beaches and significant archaeological remains.
  • E. Hindburn
    Hindburn is a small river in Lancashire, England, that flows through rural countryside before joining the River Wenning.
  • 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_69e0c45f17148190949c330ab9c27706 completed April 16, 2026, 11:13 a.m.
NER Named-entity recognition batch_69eeb58d66ec8190b654a46932c841d3 completed April 27, 2026, 1:02 a.m.
Created at: April 16, 2026, 6:28 p.m.