Triple
T18864389
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hamtun |
E461397
|
entity |
| Predicate | hasSpellingVariant |
P457
|
FINISHED |
| Object |
Hamtune
Hamtune is an alternative historical spelling of "Hamtun," a place name used in early English records.
|
E1347473
|
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: Hamtune | Statement: [Hamtun, hasSpellingVariant, Hamtune]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Hamtune Context triple: [Hamtun, hasSpellingVariant, Hamtune]
-
A.
Blunham
Blunham is a village in Bedfordshire, England, known for its rural setting near the River Ivel and historic parish church.
-
B.
Thakeham
Thakeham is a rural village and civil parish in West Sussex, England, known for its historic buildings and countryside setting within the Horsham District.
-
C.
Huttlestone
Huttlestone is an English surname most notably associated with actor Daniel Huttlestone, known for his roles in film and musical theatre.
-
D.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
-
E.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
- 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: Hamtune Triple: [Hamtun, hasSpellingVariant, Hamtune]
Generated description
Hamtune is an alternative historical spelling of "Hamtun," a place name used in early English records.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Hamtune Target entity description: Hamtune is an alternative historical spelling of "Hamtun," a place name used in early English records.
-
A.
Blunham
Blunham is a village in Bedfordshire, England, known for its rural setting near the River Ivel and historic parish church.
-
B.
Thakeham
Thakeham is a rural village and civil parish in West Sussex, England, known for its historic buildings and countryside setting within the Horsham District.
-
C.
Huttlestone
Huttlestone is an English surname most notably associated with actor Daniel Huttlestone, known for his roles in film and musical theatre.
-
D.
Ketteringham
Ketteringham is a small village and civil parish in Norfolk, England, known for its rural character and historic parish church.
-
E.
Hellingly
Hellingly is a village and civil parish in East Sussex, England, known for its rural character and historic parish church.
- 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_69d8dcfb7b9c8190854e7b171b98ea2e |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5c2a3e9a48190a4d44728635ac368 |
completed | April 20, 2026, 6:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0575b902ec8190bcda2ab33b87bea4 |
completed | May 14, 2026, 7:11 a.m. |
| NEDg | Description generation | batch_6a057927ddd881908809c9c27e1ae5a2 |
completed | May 14, 2026, 7:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0579982b4c8190a7cff4d2946bc15d |
completed | May 14, 2026, 7:28 a.m. |
Created at: April 10, 2026, 11:57 a.m.