Triple
T2314520
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Michael Atiyah |
E51031
|
entity |
| Predicate | doctoralStudent |
P167
|
FINISHED |
| Object |
Graeme Segal
Graeme Segal is a British mathematician renowned for his influential work in algebraic topology, K-theory, and mathematical aspects of quantum field theory.
|
E255581
|
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: Graeme Segal | Statement: [Michael Atiyah, doctoralStudent, Graeme Segal]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Graeme Segal Context triple: [Michael Atiyah, doctoralStudent, Graeme Segal]
-
A.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
B.
Lorne David Lipowitz
Lorne David Lipowitz is the birth name of Lorne Michaels, the influential Canadian-American television producer and creator of "Saturday Night Live."
-
C.
David Seidler
David Seidler is a British-American screenwriter best known for writing the Academy Award-winning screenplay for the historical drama film "The King’s Speech."
-
D.
Andrew Rabinovich
Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
-
E.
John Bahen
John Bahen was a benefactor whose contributions to the University of Toronto led to the naming of the Bahen Centre for Information Technology in his honor.
- 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: Graeme Segal Triple: [Michael Atiyah, doctoralStudent, Graeme Segal]
Generated description
Graeme Segal is a British mathematician renowned for his influential work in algebraic topology, K-theory, and mathematical aspects of quantum field theory.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Graeme Segal Target entity description: Graeme Segal is a British mathematician renowned for his influential work in algebraic topology, K-theory, and mathematical aspects of quantum field theory.
-
A.
Michael Gelman
Michael Gelman is a longtime American television producer best known for his work shaping and overseeing the daytime talk show "Live!" through its various host pairings.
-
B.
Lorne David Lipowitz
Lorne David Lipowitz is the birth name of Lorne Michaels, the influential Canadian-American television producer and creator of "Saturday Night Live."
-
C.
David Seidler
David Seidler is a British-American screenwriter best known for writing the Academy Award-winning screenplay for the historical drama film "The King’s Speech."
-
D.
Andrew Rabinovich
Andrew Rabinovich is a computer scientist and researcher known for his contributions to computer vision and deep learning, including influential work at Google.
-
E.
John Bahen
John Bahen was a benefactor whose contributions to the University of Toronto led to the naming of the Bahen Centre for Information Technology in his honor.
- 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_69a88b074b908190ae983dbca7757d88 |
completed | March 4, 2026, 7:41 p.m. |
| NER | Named-entity recognition | batch_69abc61d41f88190983f8947667b4c7a |
completed | March 7, 2026, 6:30 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae895f5420819087b403e9772dce9a |
completed | March 9, 2026, 8:48 a.m. |
| NEDg | Description generation | batch_69ae8af65eb88190b17d74e7411967cc |
completed | March 9, 2026, 8:55 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ae8ba02cec8190917c0e17d3fedb0e |
completed | March 9, 2026, 8:58 a.m. |
Created at: March 4, 2026, 7:49 p.m.