Triple
T21061784
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Furst–Saxe–Sipser lower bounds |
E518865
|
entity |
| Predicate | authors |
P63068
|
FINISHED |
| Object | Michael Sipser |
—
|
NE NERFINISHED |
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 Sipser | Statement: [Furst–Saxe–Sipser lower bounds, authors, Michael Sipser]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Michael Sipser Context triple: [Furst–Saxe–Sipser lower bounds, authors, Michael Sipser]
-
A.
Michael Sipser
chosen
Michael Sipser is an American theoretical computer scientist known for his influential work in computational complexity theory and for authoring a widely used textbook on the theory of computation.
-
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.
Jeffrey D. Ullman
Jeffrey D. Ullman is a prominent American computer scientist known for his foundational contributions to database theory, algorithms, and formal languages, and for coauthoring several classic textbooks in computer science.
-
D.
John E. Hopcroft
John E. Hopcroft is an American computer scientist renowned for his foundational contributions to algorithms and automata theory and as a coauthor of the classic textbook "Introduction to Automata Theory, Languages, and Computation."
-
E.
Eli Upfal
Eli Upfal is a computer scientist known for his contributions to randomized algorithms, probabilistic analysis, and theoretical computer science.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e0b505ef108190b25dd4033e2ff7eb |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6feb064a48190b892b78e27e8d0fa |
completed | April 21, 2026, 4:36 a.m. |
Created at: April 16, 2026, 2:38 p.m.