Triple

T11746632
Position Surface form Disambiguated ID Type / Status
Subject John Charlton E279295 entity
Predicate familyName P18 FINISHED
Object Charlton unclear NED1 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: Charlton | Statement: [John Charlton, familyName, Charlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlton
Context triple: [John Charlton, familyName, Charlton]
  • A. Charlton
    Charlton is a small town in upstate New York known for its rural character and residential communities.
  • B. Charlton
    Charlton is a district in southeast London known for its historic village center, riverside industrial heritage, and the football club Charlton Athletic.
  • C. Charlton
    Charlton is a small settlement located within the borough of Spelthorne in Surrey, England.
  • D. Charltons
    Charltons is a small village in North Yorkshire, England, situated within the borough of Redcar and Cleveland.
  • E. Charfield
    Charfield is a rural village and civil parish in South Gloucestershire, England, known historically for its former railway station and the 1928 Charfield rail disaster.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a50763a081908597da118bd0a64e completed April 10, 2026, 7:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69f019f5f29c81909d80a9e6127ec6ef completed April 28, 2026, 2:22 a.m.
Created at: April 8, 2026, 9:41 p.m.