Triple

T10691505
Position Surface form Disambiguated ID Type / Status
Subject Norm Charlton E252019 entity
Predicate familyName P18 FINISHED
Object Charlton
Charlton is an English surname of Old English origin, historically associated with various places named Charlton across the United Kingdom.
 E236068 NE FINISHED

How this triple was built (4 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: [Norm Charlton, familyName, Charlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charlton
Context triple: [Norm 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 small settlement located within the borough of Spelthorne in Surrey, England.
  • C. Charlton
    Charlton is a district in southeast London known for its historic village center, riverside industrial heritage, and the football club Charlton Athletic.
  • 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. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Charlton
Triple: [Norm Charlton, familyName, Charlton]
Generated description
Charlton is an English surname of Old English origin, historically associated with various places named Charlton across the United Kingdom.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Charlton
Target entity description: Charlton is an English surname of Old English origin, historically associated with various places named Charlton across the United Kingdom.
  • 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 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.

Provenance (5 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_69d6aa5bd7c08190a816e733b4045c23 completed April 8, 2026, 7:19 p.m.
NER Named-entity recognition batch_69d6fd3705788190bcbdef93b4c5f574 completed April 9, 2026, 1:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69d988ad741c8190b9ae962e0c5bc272 completed April 10, 2026, 11:33 p.m.
NEDg Description generation batch_69d98aecef388190a270e92c93ccca05 completed April 10, 2026, 11:42 p.m.
NED2 Entity disambiguation (via description) batch_69d98c04e8c08190b4d7bc63357c69f4 completed April 10, 2026, 11:47 p.m.
Created at: April 8, 2026, 9:11 p.m.