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.