Triple
T2458192
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arthur St. Clair |
E54470
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
St. Clair
St. Clair is a Scottish-origin surname historically associated with nobility and military and political figures in the English-speaking world.
|
E269483
|
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: St. Clair | Statement: [Arthur St. Clair, familyName, St. Clair]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: St. Clair Context triple: [Arthur St. Clair, familyName, St. Clair]
-
A.
Huron
Huron is a small agricultural city located in California’s San Joaquin Valley.
-
B.
Huron
Huron is an Iroquoian language historically spoken by the Wyandot (Huron) people of the Great Lakes region in North America.
-
C.
Chippewa
Chippewa is an alternative name for the Ojibwe, a large Indigenous people of North America whose traditional territories span the Great Lakes region and parts of Canada and the United States.
-
D.
Waban
Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
-
E.
Huron River
The Huron River is a major river in southeastern Michigan known for flowing through communities like Ann Arbor and Ypsilanti and supporting extensive recreational activities and natural habitats.
- 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: St. Clair Triple: [Arthur St. Clair, familyName, St. Clair]
Generated description
St. Clair is a Scottish-origin surname historically associated with nobility and military and political figures in the English-speaking world.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: St. Clair Target entity description: St. Clair is a Scottish-origin surname historically associated with nobility and military and political figures in the English-speaking world.
-
A.
Huron
Huron is a small agricultural city located in California’s San Joaquin Valley.
-
B.
Huron
Huron is an Iroquoian language historically spoken by the Wyandot (Huron) people of the Great Lakes region in North America.
-
C.
Chippewa
Chippewa is an alternative name for the Ojibwe, a large Indigenous people of North America whose traditional territories span the Great Lakes region and parts of Canada and the United States.
-
D.
Waban
Waban is a village in the city of Newton, Massachusetts, known for its residential character and Green Line D branch MBTA station.
-
E.
Huron River
The Huron River is a major river in southeastern Michigan known for flowing through communities like Ann Arbor and Ypsilanti and supporting extensive recreational activities and natural habitats.
- 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_69ab49dee84c819096b50a0049c347ac |
completed | March 6, 2026, 9:40 p.m. |
| NER | Named-entity recognition | batch_69abd10860188190bfc4c554914487b4 |
completed | March 7, 2026, 7:17 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69af179665d081909f9a761fa50c44e7 |
completed | March 9, 2026, 6:55 p.m. |
| NEDg | Description generation | batch_69af185baf5c8190b8aa3dc672f2e1be |
completed | March 9, 2026, 6:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69af18d8ab0881908ecd027080f96e0e |
completed | March 9, 2026, 7 p.m. |
Created at: March 6, 2026, 9:44 p.m.