Triple
T6316978
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Richard Lipton |
E141639
|
entity |
| Predicate | notableStudent |
P4838
|
FINISHED |
| Object | Kenneth Regan |
E583432
|
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: Kenneth Regan | Statement: [Richard Lipton, notableStudent, Kenneth Regan]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kenneth Regan Context triple: [Richard Lipton, notableStudent, Kenneth Regan]
-
A.
Kenneth Regan
chosen
Kenneth Regan is an American mathematician and computer scientist known for his work in computational complexity theory and for his research on detecting cheating in chess.
-
B.
Richard Lipton
Richard Lipton is an American computer scientist known for his influential work in theoretical computer science and cryptography, including contributions to complexity theory and algorithm design.
-
C.
W. Craig Jelinek
W. Craig Jelinek is an American business executive best known for serving as the CEO of Costco Wholesale Corporation.
-
D.
Leslie Valiant
Leslie Valiant is a renowned computer scientist known for his foundational work in computational learning theory, complexity theory, and artificial intelligence.
-
E.
Brad Dechter
Brad Dechter is an American orchestrator and arranger known for his work on numerous film scores, including major animated features.
- 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_69c008d13b8c8190be47d896eb735605 |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c064c25530819080b29e0029175c00 |
completed | March 22, 2026, 9:53 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6040714988190abbbadb4039966ef |
completed | March 27, 2026, 4:13 a.m. |
Created at: March 22, 2026, 4:29 p.m.