Triple
T799184
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donald E. Knuth |
E17089
|
entity |
| Predicate | knownFor |
P22
|
FINISHED |
| Object |
Knuth–Morris–Pratt algorithm
The Knuth–Morris–Pratt algorithm is a classic linear-time string-searching algorithm that efficiently finds occurrences of a pattern within a text by precomputing a prefix function to avoid redundant comparisons.
|
E94984
|
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: Knuth–Morris–Pratt algorithm | Statement: [Donald E. Knuth, knownFor, Knuth–Morris–Pratt algorithm]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Knuth–Morris–Pratt algorithm Context triple: [Donald E. Knuth, knownFor, Knuth–Morris–Pratt algorithm]
-
A.
IAS machine
The IAS machine was an early electronic stored-program computer designed by John von Neumann and his colleagues at the Institute for Advanced Study, serving as a prototype for many subsequent computer architectures.
-
B.
Look-and-say sequence
The look-and-say sequence is a famous integer sequence where each term is generated by verbally describing the digits of the previous term, studied for its surprising combinatorial and growth properties.
-
C.
Introduction to Algorithms
Introduction to Algorithms is a widely used, comprehensive textbook on algorithms and data structures, renowned for its rigorous yet accessible coverage of theoretical and practical topics in computer science.
-
D.
Turing machine
A Turing machine is an abstract computational model that manipulates symbols on an infinite tape according to a set of rules, providing a formal foundation for the concept of algorithm and computability.
-
E.
Introduction to the Theory of Computation
Introduction to the Theory of Computation is a widely used textbook in theoretical computer science that covers formal languages, automata, computability, and complexity theory.
- 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: Knuth–Morris–Pratt algorithm Triple: [Donald E. Knuth, knownFor, Knuth–Morris–Pratt algorithm]
Generated description
The Knuth–Morris–Pratt algorithm is a classic linear-time string-searching algorithm that efficiently finds occurrences of a pattern within a text by precomputing a prefix function to avoid redundant comparisons.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Knuth–Morris–Pratt algorithm Target entity description: The Knuth–Morris–Pratt algorithm is a classic linear-time string-searching algorithm that efficiently finds occurrences of a pattern within a text by precomputing a prefix function to avoid redundant comparisons.
-
A.
IAS machine
The IAS machine was an early electronic stored-program computer designed by John von Neumann and his colleagues at the Institute for Advanced Study, serving as a prototype for many subsequent computer architectures.
-
B.
Look-and-say sequence
The look-and-say sequence is a famous integer sequence where each term is generated by verbally describing the digits of the previous term, studied for its surprising combinatorial and growth properties.
-
C.
Introduction to Algorithms
Introduction to Algorithms is a widely used, comprehensive textbook on algorithms and data structures, renowned for its rigorous yet accessible coverage of theoretical and practical topics in computer science.
-
D.
Turing machine
A Turing machine is an abstract computational model that manipulates symbols on an infinite tape according to a set of rules, providing a formal foundation for the concept of algorithm and computability.
-
E.
Introduction to the Theory of Computation
Introduction to the Theory of Computation is a widely used textbook in theoretical computer science that covers formal languages, automata, computability, and complexity theory.
- 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_69a49378b9c48190adbf5f62e5b7aca1 |
completed | March 1, 2026, 7:28 p.m. |
| NER | Named-entity recognition | batch_69a4a7b4d9548190aad5fdf1211cf8cd |
completed | March 1, 2026, 8:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a67f01cca881908c1d230048be1225 |
completed | March 3, 2026, 6:26 a.m. |
| NEDg | Description generation | batch_69a6800b410881909d95ab4c3612b501 |
completed | March 3, 2026, 6:30 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a680bae34481909255d07f325d97d4 |
completed | March 3, 2026, 6:33 a.m. |
Created at: March 1, 2026, 7:38 p.m.