Triple

T1367860
Position Surface form Disambiguated ID Type / Status
Subject Hannah Chaplin E30043 entity
Predicate placeOfBirth P1 FINISHED
Object Walworth
Walworth is a district in the London Borough of Southwark, England, known for its historic working-class roots and proximity to central London.
E155898 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: Walworth | Statement: [Hannah Chaplin, placeOfBirth, Walworth]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Walworth
Context triple: [Hannah Chaplin, placeOfBirth, Walworth]
  • A. Wythenshawe
    Wythenshawe is a large suburban area in south Manchester, England, known for its extensive housing estates, green spaces, and proximity to Manchester Airport.
  • B. Swanley
    Swanley is a town in the Sevenoaks District of Kent, England, situated on the southeastern outskirts of Greater London.
  • C. Pennard
    Pennard is a coastal village in Swansea, Wales, known for its scenic cliffs, nearby beaches, and the ruins of medieval Pennard Castle overlooking Three Cliffs Bay.
  • D. Southwick
    Southwick is a coastal town in southern England situated between Brighton and Shoreham-by-Sea.
  • E. Blackheath
    Blackheath is a historic village and popular tourist stop in the Blue Mountains of New South Wales, Australia, known for its dramatic cliffs, lookouts, and bushwalking trails.
  • 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: Walworth
Triple: [Hannah Chaplin, placeOfBirth, Walworth]
Generated description
Walworth is a district in the London Borough of Southwark, England, known for its historic working-class roots and proximity to central London.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Walworth
Target entity description: Walworth is a district in the London Borough of Southwark, England, known for its historic working-class roots and proximity to central London.
  • A. Wythenshawe
    Wythenshawe is a large suburban area in south Manchester, England, known for its extensive housing estates, green spaces, and proximity to Manchester Airport.
  • B. Swanley
    Swanley is a town in the Sevenoaks District of Kent, England, situated on the southeastern outskirts of Greater London.
  • C. Pennard
    Pennard is a coastal village in Swansea, Wales, known for its scenic cliffs, nearby beaches, and the ruins of medieval Pennard Castle overlooking Three Cliffs Bay.
  • D. Southwick
    Southwick is a coastal town in southern England situated between Brighton and Shoreham-by-Sea.
  • E. Blackheath
    Blackheath is a historic village and popular tourist stop in the Blue Mountains of New South Wales, Australia, known for its dramatic cliffs, lookouts, and bushwalking trails.
  • F. None of above. chosen

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_69a498f912008190a376a98b207b2071 completed March 1, 2026, 7:52 p.m.
NER Named-entity recognition batch_69a4c2d497f88190993d16a208ced43d completed March 1, 2026, 10:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69acce788098819087a046e10966b7e9 completed March 8, 2026, 1:18 a.m.
NEDg Description generation batch_69accf15d910819098e9a4b24247881b completed March 8, 2026, 1:21 a.m.
NED2 Entity disambiguation (via description) batch_69accffa9a40819083a3e55a5d83e040 completed March 8, 2026, 1:25 a.m.
Created at: March 1, 2026, 7:57 p.m.