Triple
T4888317
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | St Hugh’s College, Oxford |
E109494
|
entity |
| Predicate | hasAlumnus |
P51
|
FINISHED |
| Object | Imogen Cooper |
E153422
|
NE FINISHED |
How this triple was built (2 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: Imogen Cooper | Statement: [St Hugh’s College, Oxford, hasAlumnus, Imogen Cooper]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Imogen Cooper Context triple: [St Hugh’s College, Oxford, hasAlumnus, Imogen Cooper]
-
A.
Imogen Cooper
chosen
Imogen Cooper is a renowned British classical pianist celebrated for her interpretations of composers such as Schubert and Mozart and her distinguished international concert career.
-
B.
Imogen Hassall
Imogen Hassall was a British actress of the 1960s and 1970s, often cast in glamorous or provocative roles in film and television.
-
C.
Imogen Stubbs
Imogen Stubbs is an English actress known for her work in film, television, and theatre, including notable roles in period dramas.
-
D.
Imogen Poots
Imogen Poots is a British actress known for her versatile performances in films such as "Green Room," "28 Weeks Later," and "Need for Speed."
-
E.
Katherine Wilkinson
Katherine Wilkinson is a climate strategist, author, and speaker known for her work on solutions-focused climate communication and leadership, including co-editing the influential book "All We Can Save."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69bd440f71348190b99938e59fb7f9a1 |
completed | March 20, 2026, 12:56 p.m. |
| NER | Named-entity recognition | batch_69bd6e053db8819087828e753c78d341 |
completed | March 20, 2026, 3:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be68126b288190889b2cf6e400ec0b |
completed | March 21, 2026, 9:42 a.m. |
Created at: March 20, 2026, 1:28 p.m.