Triple
T19478077
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | MCR (Jesus College) |
E487303
|
entity |
| Predicate | isDistinctFrom |
P1612
|
FINISHED |
| Object |
JCR (Jesus College)
JCR (Jesus College) is the undergraduate student body and representative organization at Jesus College, typically responsible for social, welfare, and academic representation of its members.
|
E117277
|
NE FINISHED |
How this triple was built (3 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.
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: JCR (Jesus College) Context triple: [MCR (Jesus College), isDistinctFrom, JCR (Jesus College)]
-
A.
Jesus College, Oxford
Jesus College, Oxford is one of the constituent colleges of the University of Oxford, known for its historic Welsh connections and central location in the city.
-
B.
Jesus College, Cambridge
Jesus College, Cambridge is one of the constituent colleges of the University of Cambridge, known for its historic buildings, large grounds, and strong academic reputation.
-
C.
Corpus Christi College, Cambridge
Corpus Christi College, Cambridge is one of the historic constituent colleges of the University of Cambridge, known for its medieval origins and distinctive architectural heritage.
-
D.
St John’s College
St John’s College is a constituent college of Durham University known for its close-knit community and historic riverside setting in Durham, England.
-
E.
St John’s College
St John’s College is a Catholic residential college affiliated with the University of Sydney, known for its historic architecture and strong academic and community life.
- 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: JCR (Jesus College) Triple: [MCR (Jesus College), isDistinctFrom, JCR (Jesus College)]
Generated description
JCR (Jesus College) is the undergraduate student body and representative organization at Jesus College, typically responsible for social, welfare, and academic representation of its members.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: JCR (Jesus College) Target entity description: JCR (Jesus College) is the undergraduate student body and representative organization at Jesus College, typically responsible for social, welfare, and academic representation of its members.
-
A.
Jesus College, Oxford
chosen
Jesus College, Oxford is one of the constituent colleges of the University of Oxford, known for its historic Welsh connections and central location in the city.
-
B.
Jesus College, Cambridge
Jesus College, Cambridge is one of the constituent colleges of the University of Cambridge, known for its historic buildings, large grounds, and strong academic reputation.
-
C.
Corpus Christi College, Cambridge
Corpus Christi College, Cambridge is one of the historic constituent colleges of the University of Cambridge, known for its medieval origins and distinctive architectural heritage.
-
D.
St John’s College
St John’s College is a constituent college of Durham University known for its close-knit community and historic riverside setting in Durham, England.
-
E.
St John’s College
St John’s College is a Catholic residential college affiliated with the University of Sydney, known for its historic architecture and strong academic and community life.
- F. None of above.
Provenance (4 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_69d8e8d924388190b847cb15bb3d0aff |
completed | April 10, 2026, 12:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a074053f7b48190a726ef5e285ed62a |
completed | May 15, 2026, 3:48 p.m. |
| NEDg | Description generation | batch_6a07412a04d0819087c4dc7b5f2742ad |
completed | May 15, 2026, 3:52 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a074197aa14819096a74aab7bca9e3c |
completed | May 15, 2026, 3:53 p.m. |
Created at: April 10, 2026, 1:39 p.m.