Triple
T2374329
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hensleigh Wedgwood |
E46161
|
entity |
| Predicate | placeOfBirth |
P1
|
FINISHED |
| Object |
Tarrant Gunville
Tarrant Gunville is a small rural village and civil parish in Dorset, England.
|
E260088
|
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: Tarrant Gunville | Statement: [Hensleigh Wedgwood, placeOfBirth, Tarrant Gunville]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tarrant Gunville Context triple: [Hensleigh Wedgwood, placeOfBirth, Tarrant Gunville]
-
A.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
B.
Heytesbury
Heytesbury is a historic village and former parliamentary borough in Wiltshire, England.
-
C.
Midhurst
Midhurst is a historic market town in South East England known for its picturesque streets, Tudor buildings, and proximity to the South Downs National Park.
-
D.
Grimston
Grimston is a village and civil parish in the English county of Norfolk, known for its historic church and rural setting near King’s Lynn.
-
E.
Knighton
Knighton is a small market town on the English–Welsh border, known for its position on Offa’s Dyke and its surrounding rural landscapes.
- 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: Tarrant Gunville Triple: [Hensleigh Wedgwood, placeOfBirth, Tarrant Gunville]
Generated description
Tarrant Gunville is a small rural village and civil parish in Dorset, England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Tarrant Gunville Target entity description: Tarrant Gunville is a small rural village and civil parish in Dorset, England.
-
A.
Hawkenbury
Hawkenbury is a residential suburb and community area of Royal Tunbridge Wells in Kent, England.
-
B.
Heytesbury
Heytesbury is a historic village and former parliamentary borough in Wiltshire, England.
-
C.
Midhurst
Midhurst is a historic market town in South East England known for its picturesque streets, Tudor buildings, and proximity to the South Downs National Park.
-
D.
Grimston
Grimston is a village and civil parish in the English county of Norfolk, known for its historic church and rural setting near King’s Lynn.
-
E.
Knighton
Knighton is a small market town on the English–Welsh border, known for its position on Offa’s Dyke and its surrounding rural landscapes.
- 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_69a88a145268819083e2736cb835c696 |
completed | March 4, 2026, 7:37 p.m. |
| NER | Named-entity recognition | batch_69abc791c4688190a4b8f0e540e84eb4 |
completed | March 7, 2026, 6:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69aea8a8c2b88190a18dbf35d745958f |
completed | March 9, 2026, 11:02 a.m. |
| NEDg | Description generation | batch_69aea92cc66c81909a46b83200960fe2 |
completed | March 9, 2026, 11:04 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69aea9b8dff08190a09f0c965dfd6738 |
completed | March 9, 2026, 11:06 a.m. |
Created at: March 4, 2026, 7:56 p.m.