Triple

T2611385
Position Surface form Disambiguated ID Type / Status
Subject Sir Robert Charlton E58781 entity
Predicate familyName P18 FINISHED
Object Charlton
Charlton is an English surname of Old English origin, historically associated with various notable figures and families in Britain.
 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: [Sir Robert Charlton, familyName, Charlton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Charlton
Context triple: [Sir Robert 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. Chislehurst
    Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
  • D. Charlton, Oxfordshire
    Charlton, Oxfordshire is a village in the Vale of White Horse district of Oxfordshire, England, situated close to the market town of Wantage.
  • E. Burgess Hill
    Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
  • 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: [Sir Robert Charlton, familyName, Charlton]
Generated description
Charlton is an English surname of Old English origin, historically associated with various notable figures and families in Britain.
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 notable figures and families in Britain.
  • 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. Chislehurst
    Chislehurst is a suburban district in southeast London known for its historic commons, caves, and affluent residential character.
  • D. Charlton, Oxfordshire
    Charlton, Oxfordshire is a village in the Vale of White Horse district of Oxfordshire, England, situated close to the market town of Wantage.
  • E. Burgess Hill
    Burgess Hill is a town in southeastern England known as a commuter hub with residential areas and light industry, situated within the county of West Sussex.
  • 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_69ab4ac3523881909679750c9f8c2dec completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd87b24e48190ad1d4ce7e63c0f3e completed March 7, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69af83e506188190b6cd3b507dfc353c completed March 10, 2026, 2:37 a.m.
NEDg Description generation batch_69af846b59508190b6f7f9b266123be0 completed March 10, 2026, 2:39 a.m.
NED2 Entity disambiguation (via description) batch_69af850fe6008190bf6c7c64d1078a50 completed March 10, 2026, 2:42 a.m.
Created at: March 6, 2026, 9:50 p.m.