Triple

T22905663
Position Surface form Disambiguated ID Type / Status
Subject The Kid LAROI E568436 entity
Predicate givenName P17 FINISHED
Object Charlton 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: Charlton | Statement: [The Kid LAROI, givenName, Charlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlton
Context triple: [The Kid LAROI, givenName, Charlton]
  • A. Charlton
    Charlton is a small town in upstate New York known for its rural character and residential communities.
  • B. Charlton chosen
    Charlton is a masculine given name of English origin, historically associated with places meaning "settlement of free men" and borne by various notable figures in sports, politics, and the arts.
  • C. Charlton
    Charlton is a small town in south-central Massachusetts known for its rural character, historic New England charm, and proximity to outdoor recreation areas.
  • D. Charlton
    Charlton is a district in southeast London known for its historic village center, riverside industrial heritage, and the football club Charlton Athletic.
  • E. Charlton
    Charlton is a small settlement located within the borough of Spelthorne in Surrey, England.
  • 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_69e2458cd9e48190943ad2e34485d939 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f180198fe88190b2f8c2a827d95fdc completed April 29, 2026, 3:50 a.m.
Created at: April 17, 2026, 3:41 p.m.