Triple
T10942691
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Livingston Ludlow |
E258512
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Ludlow
Ludlow is an English-origin surname historically associated with various notable figures in politics, literature, and public life.
|
E895446
|
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: Ludlow | Statement: [Mary Livingston Ludlow, familyName, Ludlow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ludlow Context triple: [Mary Livingston Ludlow, familyName, Ludlow]
-
A.
Ludlow
Ludlow is a historic market town in Shropshire, England, renowned for its well-preserved medieval architecture, Norman castle, and vibrant food culture.
-
B.
Ludlow
Ludlow is a small town in Windsor County, Vermont, best known as the home of the Okemo Mountain ski resort and a popular year-round outdoor recreation destination.
-
C.
Castleton
Castleton is a picturesque village in England’s Peak District, known for its surrounding hills, show caves, and historic Peveril Castle.
-
D.
Castleton
Castleton is a suburban district and former industrial village within the Metropolitan Borough of Rochdale in Greater Manchester, England.
-
E.
Castleton
Castleton is a small village in North Yorkshire, England, situated within the scenic North York Moors National Park.
- 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: Ludlow Triple: [Mary Livingston Ludlow, familyName, Ludlow]
Generated description
Ludlow is an English-origin surname historically associated with various notable figures in politics, literature, and public life.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ludlow Target entity description: Ludlow is an English-origin surname historically associated with various notable figures in politics, literature, and public life.
-
A.
Ludlow
Ludlow is a historic market town in Shropshire, England, renowned for its well-preserved medieval architecture, Norman castle, and vibrant food culture.
-
B.
Ludlow
Ludlow is a small town in Windsor County, Vermont, best known as the home of the Okemo Mountain ski resort and a popular year-round outdoor recreation destination.
-
C.
Castleton
Castleton is a picturesque village in England’s Peak District, known for its surrounding hills, show caves, and historic Peveril Castle.
-
D.
Castleton
Castleton is a small village in North Yorkshire, England, situated within the scenic North York Moors National Park.
-
E.
Castleton
Castleton is a suburban district and former industrial village within the Metropolitan Borough of Rochdale in Greater Manchester, England.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c3fb388190a598f89ae59a7b51 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c1ed4f081909ac5731dac325466 |
completed | April 17, 2026, 1:56 p.m. |
| NEDg | Description generation | batch_69e24542b4f081909c97621f04da8ecc |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e248f7f96481909fa6e6cd07891566 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 8, 2026, 9:23 p.m.