Triple
T14937148
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mary Seymour |
E372424
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Seymour
Seymour is an English surname historically associated with a prominent noble family in Tudor England.
|
E1128579
|
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: Seymour | Statement: [Mary Seymour, familyName, Seymour]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Seymour Context triple: [Mary Seymour, familyName, Seymour]
-
A.
Seymour
Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
-
B.
Seymour
Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
-
C.
Seymour
Seymour is a regional town in central Victoria, Australia, known as a key agricultural and transport hub on the route between Melbourne and Sydney.
-
D.
Seymour
Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
-
E.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
- 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: Seymour Triple: [Mary Seymour, familyName, Seymour]
Generated description
Seymour is an English surname historically associated with a prominent noble family in Tudor England.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Seymour Target entity description: Seymour is an English surname historically associated with a prominent noble family in Tudor England.
-
A.
Seymour
Seymour is a small unincorporated community and suburban area in eastern Tennessee, situated near Knoxville in the foothills of the Great Smoky Mountains.
-
B.
Seymour
Seymour is a masculine given name of English origin that has been borne by various notable figures in fields such as business, politics, and the arts.
-
C.
Seymour
Seymour is a small town in New Haven County, Connecticut, known for its historic industrial roots along the Naugatuck River.
-
D.
Seymour
Seymour is a regional town in central Victoria, Australia, known as a key agricultural and transport hub on the route between Melbourne and Sydney.
-
E.
Leland
Leland is a masculine given name of English origin, historically associated with figures such as American industrialist and Stanford University founder Leland Stanford.
- 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_69d85cc9da0c81908d583ca3f63a3908 |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded64904d88190b6b4140da8e8199d |
completed | April 15, 2026, 12:05 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e8e9c0c81909cfb1e02987527c0 |
completed | May 9, 2026, 12:23 a.m. |
| NEDg | Description generation | batch_69fe7f299cf081909a3e15ead54bd2fc |
completed | May 9, 2026, 12:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fe7fb4aa5c8190bca9fc60a1ef6833 |
completed | May 9, 2026, 12:28 a.m. |
Created at: April 10, 2026, 2:37 a.m.