Triple
T8449039
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Lance Fortnow |
E199753
|
entity |
| Predicate | hasBlog |
P80
|
FINISHED |
| Object |
Computational Complexity blog
The Computational Complexity blog is a long-running, influential blog on theoretical computer science and complexity theory, co-authored by Lance Fortnow (and often Bill Gasarch), featuring commentary on research, academia, and the theory community.
|
E735009
|
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: Computational Complexity blog | Statement: [Lance Fortnow, hasBlog, Computational Complexity blog]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Computational Complexity blog Context triple: [Lance Fortnow, hasBlog, Computational Complexity blog]
-
A.
Computational Complexity: A Conceptual Perspective
Computational Complexity: A Conceptual Perspective is a graduate-level textbook that presents the foundations and key themes of computational complexity theory with an emphasis on conceptual understanding over technical detail.
-
B.
Complexity Theory
Complexity Theory is a branch of theoretical computer science that studies the resources, such as time and space, required to solve computational problems and classifies these problems based on their inherent difficulty.
-
C.
blog "Gödel’s Lost Letter and P=NP"
"Gödel’s Lost Letter and P=NP" is a widely read theoretical computer science and mathematics blog, co-authored by Richard Lipton, that explores complexity theory, algorithms, and related topics in an accessible, conversational style.
-
D.
Blum complexity measures
Blum complexity measures are a formal framework in computational complexity theory that rigorously define and compare the resource usage (such as time or space) of algorithms via axiomatic conditions.
-
E.
Papadimitriou: Computational Complexity
"Papadimitriou: Computational Complexity" is a widely used graduate-level textbook that systematically develops the theory of computational complexity, including classes like P and NP and the foundations of NP-completeness.
- 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: Computational Complexity blog Triple: [Lance Fortnow, hasBlog, Computational Complexity blog]
Generated description
The Computational Complexity blog is a long-running, influential blog on theoretical computer science and complexity theory, co-authored by Lance Fortnow (and often Bill Gasarch), featuring commentary on research, academia, and the theory community.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Computational Complexity blog Target entity description: The Computational Complexity blog is a long-running, influential blog on theoretical computer science and complexity theory, co-authored by Lance Fortnow (and often Bill Gasarch), featuring commentary on research, academia, and the theory community.
-
A.
Computational Complexity: A Conceptual Perspective
Computational Complexity: A Conceptual Perspective is a graduate-level textbook that presents the foundations and key themes of computational complexity theory with an emphasis on conceptual understanding over technical detail.
-
B.
Complexity Theory
Complexity Theory is a branch of theoretical computer science that studies the resources, such as time and space, required to solve computational problems and classifies these problems based on their inherent difficulty.
-
C.
blog "Gödel’s Lost Letter and P=NP"
"Gödel’s Lost Letter and P=NP" is a widely read theoretical computer science and mathematics blog, co-authored by Richard Lipton, that explores complexity theory, algorithms, and related topics in an accessible, conversational style.
-
D.
Blum complexity measures
Blum complexity measures are a formal framework in computational complexity theory that rigorously define and compare the resource usage (such as time or space) of algorithms via axiomatic conditions.
-
E.
Papadimitriou: Computational Complexity
"Papadimitriou: Computational Complexity" is a widely used graduate-level textbook that systematically develops the theory of computational complexity, including classes like P and NP and the foundations of NP-completeness.
- 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_69ca83170f9081909cd98f55614c6476 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe445b7988190b53ae45070c70d1d |
completed | March 31, 2026, 3:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1dc85e48819083340d022d0dba9b |
completed | April 2, 2026, 7:42 a.m. |
| NEDg | Description generation | batch_69ce1f88d404819096c6024c0e61d1ea |
completed | April 2, 2026, 7:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce209338b48190ba8375200a5529bd |
completed | April 2, 2026, 7:53 a.m. |
Created at: March 30, 2026, 6:09 p.m.