Triple
T3308914
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Leslie Valiant |
E69521
|
entity |
| Predicate | academicAdvisor |
P167
|
FINISHED |
| Object | Michael Paterson |
E178836
|
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: Michael Paterson | Statement: [Leslie Valiant, academicAdvisor, Michael Paterson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Paterson Context triple: [Leslie Valiant, academicAdvisor, Michael Paterson]
-
A.
Michael S. Paterson
chosen
Michael S. Paterson is a British computer scientist and mathematician known for his contributions to theoretical computer science and combinatorial game theory.
-
B.
Nigel Shadbolt
Nigel Shadbolt is a British computer scientist and artificial intelligence researcher known for his leading role in promoting open data and digital governance.
-
C.
David J. Wetherall
David J. Wetherall is a computer scientist and academic known for his influential work and textbooks in computer networking.
-
D.
Brian Pippard
Brian Pippard was a prominent British physicist known for his pioneering work in superconductivity and for serving as Cavendish Professor of Physics at the University of Cambridge.
-
E.
Richard G. Wilkinson
Richard G. Wilkinson is a British social epidemiologist known for his influential research on income inequality and its effects on health and social outcomes.
- 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_69ad859f218081909458d2cebbf57565 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb0e9f33c81909cff835a83e0a657 |
completed | March 8, 2026, 5:24 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b2f3edc0c081908a7f5c02fe18584b |
completed | March 12, 2026, 5:12 p.m. |
Created at: March 8, 2026, 3:11 p.m.