Triple
T10132841
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ellsworth |
E226780
|
entity |
| Predicate | hasVariantForm |
P457
|
FINISHED |
| Object |
Elsworth
Elsworth is a surname and given name of English origin, historically associated with various places and families in England.
|
E843171
|
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: Elsworth | Statement: [Ellsworth, hasVariantForm, Elsworth]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elsworth Context triple: [Ellsworth, hasVariantForm, Elsworth]
-
A.
Rushworth
Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
-
B.
Rushworth
Rushworth is a small rural town in northern Victoria, Australia, known for its gold rush heritage and historic streetscape.
-
C.
Westmere
Westmere is Intel's 32 nm microarchitecture, a die-shrink of Nehalem that introduced several new features and performance improvements to the Core processor lineup.
-
D.
Carlysle
Carlysle is an alternative spelling of the surname and given name "Carlyle," which is of English and Scottish origin.
-
E.
Baverstock
Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
- 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: Elsworth Triple: [Ellsworth, hasVariantForm, Elsworth]
Generated description
Elsworth is a surname and given name of English origin, historically associated with various places and families in England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elsworth Target entity description: Elsworth is a surname and given name of English origin, historically associated with various places and families in England.
-
A.
Rushworth
Rushworth is the middle name of Lord Jellicoe, a British naval officer and statesman who served as First Sea Lord during World War I.
-
B.
Rushworth
Rushworth is a small rural town in northern Victoria, Australia, known for its gold rush heritage and historic streetscape.
-
C.
Westmere
Westmere is Intel's 32 nm microarchitecture, a die-shrink of Nehalem that introduced several new features and performance improvements to the Core processor lineup.
-
D.
Carlysle
Carlysle is an alternative spelling of the surname and given name "Carlyle," which is of English and Scottish origin.
-
E.
Baverstock
Baverstock is a small rural hamlet in Wiltshire, England, known for its historic church and tranquil countryside setting.
- 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_69ca8433ec308190b8b25a6fe359c34c |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cdd336cbf48190b647c69675d0b06f |
completed | April 2, 2026, 2:23 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d2e5d98a148190ada7082adb98ddaa |
completed | April 5, 2026, 10:44 p.m. |
| NEDg | Description generation | batch_69d2e73e4d5081909f0068d3bed583d3 |
completed | April 5, 2026, 10:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d2e7eea4d88190a2ec6d22a83934b3 |
completed | April 5, 2026, 10:53 p.m. |
Created at: March 30, 2026, 9:06 p.m.