Triple
T259064
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | University of Oxford |
E5499
|
entity |
| Predicate | chancellor |
P325
|
FINISHED |
| Object |
Chris Patten
Chris Patten is a British Conservative politician and life peer, best known as the last Governor of Hong Kong and a former chairman of the BBC Trust.
|
E33725
|
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: Chris Patten | Statement: [University of Oxford, chancellor, Chris Patten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chris Patten Context triple: [University of Oxford, chancellor, Chris Patten]
-
A.
Norman Lamont
Norman Lamont is a British Conservative politician best known for serving as Chancellor of the Exchequer under Prime Minister John Major in the early 1990s.
-
B.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
C.
Nelson Chai
Nelson Chai is a business executive and former Chief Financial Officer of Uber Technologies, known for his leadership roles in major financial and technology companies.
-
D.
Joe Tsai
Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
-
E.
T.H. Chan
T.H. Chan was a Hong Kong real estate developer and philanthropist whose family’s major donation led to Harvard’s public health school bearing his name.
- 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: Chris Patten Triple: [University of Oxford, chancellor, Chris Patten]
Generated description
Chris Patten is a British Conservative politician and life peer, best known as the last Governor of Hong Kong and a former chairman of the BBC Trust.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chris Patten Target entity description: Chris Patten is a British Conservative politician and life peer, best known as the last Governor of Hong Kong and a former chairman of the BBC Trust.
-
A.
Norman Lamont
Norman Lamont is a British Conservative politician best known for serving as Chancellor of the Exchequer under Prime Minister John Major in the early 1990s.
-
B.
Tony Wu
Tony Wu is a member of the technical team at xAI, the artificial intelligence company founded by Elon Musk.
-
C.
Nelson Chai
Nelson Chai is a business executive and former Chief Financial Officer of Uber Technologies, known for his leadership roles in major financial and technology companies.
-
D.
Joe Tsai
Joe Tsai is a Taiwanese-Canadian billionaire businessman and co-founder of Alibaba Group who owns the NBA’s Brooklyn Nets.
-
E.
T.H. Chan
T.H. Chan was a Hong Kong real estate developer and philanthropist whose family’s major donation led to Harvard’s public health school bearing his name.
- 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_69a2580a64ac8190ad76e34bb0715b5e |
completed | Feb. 28, 2026, 2:50 a.m. |
| NER | Named-entity recognition | batch_69a25d71a10c8190894c86e7a67c5974 |
completed | Feb. 28, 2026, 3:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a3837622cc819096df20695413b5c0 |
completed | March 1, 2026, 12:08 a.m. |
| NEDg | Description generation | batch_69a38470215c8190b6541ab567ca5721 |
completed | March 1, 2026, 12:12 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a384cbfbec81909a3ae67f51dadfb3 |
completed | March 1, 2026, 12:14 a.m. |
Created at: Feb. 28, 2026, 2:55 a.m.