Triple
T6258486
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Shimon Even |
E140233
|
entity |
| Predicate | doctoralAdvisor |
P167
|
FINISHED |
| Object | Michael Rabin |
E199558
|
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 Rabin | Statement: [Shimon Even, doctoralAdvisor, Michael Rabin]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Rabin Context triple: [Shimon Even, doctoralAdvisor, Michael Rabin]
-
A.
Michael Rabin
chosen
Michael Rabin is an Israeli computer scientist and Turing Award laureate renowned for his foundational contributions to automata theory, cryptography, and randomized algorithms.
-
B.
Manuel Blum
Manuel Blum is a Venezuelan-American computer scientist and Turing Award laureate renowned for his foundational contributions to computational complexity theory and cryptography.
-
C.
Jack Schwartz
Jack Schwartz was an American mathematician and computer scientist known for his contributions to programming languages, parallel computing, and the development of the SETL language.
-
D.
Noam Nisan
Noam Nisan is an Israeli computer scientist known for his influential work in computational complexity, algorithmic game theory, and communication complexity, and for co-authoring foundational textbooks in these areas.
-
E.
Leslie Valiant
Leslie Valiant is a renowned computer scientist known for his foundational work in computational learning theory, complexity theory, and artificial intelligence.
- 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_69c008c95c5c819084bd3dd56133d84d |
completed | March 22, 2026, 3:20 p.m. |
| NER | Named-entity recognition | batch_69c06367e0b48190967ebfb9bfbc9732 |
completed | March 22, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c2443f0cb88190a32968fce0214045 |
completed | March 24, 2026, 7:58 a.m. |
Created at: March 22, 2026, 4:24 p.m.