Triple
T6701915
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cynthia Curzon |
E152899
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Curzon
Curzon is a notable British surname historically associated with aristocratic families and political figures in the United Kingdom.
|
E614372
|
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: Curzon | Statement: [Cynthia Curzon, familyName, Curzon]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Curzon Context triple: [Cynthia Curzon, familyName, Curzon]
-
A.
Talbot
Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
-
B.
Williamswood
Williamswood is a small suburban community in the Halifax Regional Municipality of Nova Scotia, Canada.
-
C.
Cadogan
Cadogan is a British surname historically associated with an Anglo-Irish aristocratic family and several notable figures in politics, the military, and public life.
-
D.
Thirlby
Thirlby is the surname of Olivia Thirlby, an American actress known for roles in films such as "Juno" and "Dredd."
-
E.
Cheveley
Cheveley is a small rural village and civil parish in eastern England, known for its historic church and proximity to the horse-racing town of Newmarket.
- 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: Curzon Triple: [Cynthia Curzon, familyName, Curzon]
Generated description
Curzon is a notable British surname historically associated with aristocratic families and political figures in the United Kingdom.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Curzon Target entity description: Curzon is a notable British surname historically associated with aristocratic families and political figures in the United Kingdom.
-
A.
Talbot
Talbot is a surname of English and Norman origin, historically associated with several notable families and individuals.
-
B.
Williamswood
Williamswood is a small suburban community in the Halifax Regional Municipality of Nova Scotia, Canada.
-
C.
Cadogan
Cadogan is a British surname historically associated with an Anglo-Irish aristocratic family and several notable figures in politics, the military, and public life.
-
D.
Thirlby
Thirlby is the surname of Olivia Thirlby, an American actress known for roles in films such as "Juno" and "Dredd."
-
E.
Cheveley
Cheveley is a small rural village and civil parish in eastern England, known for its historic church and proximity to the horse-racing town of Newmarket.
- 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_69c68807adbc8190b8632df42b39eda0 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d0e5eb0c81908c4fa3febd2d23ca |
completed | March 27, 2026, 6:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c70083e1948190b5ee3fffb9783531 |
completed | March 27, 2026, 10:11 p.m. |
| NEDg | Description generation | batch_69c705220cb0819081a70175c150d138 |
completed | March 27, 2026, 10:30 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c705db3098819083ce9a93e429b758 |
completed | March 27, 2026, 10:34 p.m. |
Created at: March 27, 2026, 2:06 p.m.