Triple
T542268
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sergey Brin |
E12655
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
The Anatomy of a Large-Scale Hypertextual Web Search Engine
"The Anatomy of a Large-Scale Hypertextual Web Search Engine" is a seminal research paper by Sergey Brin and Larry Page that introduced the design and PageRank algorithm behind the early Google search engine.
|
E68398
|
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: The Anatomy of a Large-Scale Hypertextual Web Search Engine | Statement: [Sergey Brin, notableWork, The Anatomy of a Large-Scale Hypertextual Web Search Engine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: The Anatomy of a Large-Scale Hypertextual Web Search Engine Context triple: [Sergey Brin, notableWork, The Anatomy of a Large-Scale Hypertextual Web Search Engine]
-
A.
PageRank algorithm
The PageRank algorithm is a link analysis method used by search engines, notably Google, to rank web pages in search results based on their importance within the web’s link structure.
-
B.
Architecture of the World Wide Web, Volume One
Architecture of the World Wide Web, Volume One is a W3C-authored technical document that defines the foundational principles and design of the Web’s architecture.
-
C.
Finding: The Self-Describing Web
"Finding: The Self-Describing Web" is a W3C Technical Architecture Group document that explains how web resources should carry or link to enough metadata and semantics to allow automated agents and humans to understand and use them without prior agreement.
-
D.
Finding: Publishing and Linking on the Web
"Finding: Publishing and Linking on the Web" is a W3C Technical Architecture Group document that provides best-practice guidance on how web resources should be published and linked to ensure durability, interoperability, and clarity on the Web.
-
E.
ACM Transactions on the Web
ACM Transactions on the Web is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research and developments related to web technologies and applications.
- 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: The Anatomy of a Large-Scale Hypertextual Web Search Engine Triple: [Sergey Brin, notableWork, The Anatomy of a Large-Scale Hypertextual Web Search Engine]
Generated description
"The Anatomy of a Large-Scale Hypertextual Web Search Engine" is a seminal research paper by Sergey Brin and Larry Page that introduced the design and PageRank algorithm behind the early Google search engine.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: The Anatomy of a Large-Scale Hypertextual Web Search Engine Target entity description: "The Anatomy of a Large-Scale Hypertextual Web Search Engine" is a seminal research paper by Sergey Brin and Larry Page that introduced the design and PageRank algorithm behind the early Google search engine.
-
A.
PageRank algorithm
The PageRank algorithm is a link analysis method used by search engines, notably Google, to rank web pages in search results based on their importance within the web’s link structure.
-
B.
Architecture of the World Wide Web, Volume One
Architecture of the World Wide Web, Volume One is a W3C-authored technical document that defines the foundational principles and design of the Web’s architecture.
-
C.
Finding: The Self-Describing Web
"Finding: The Self-Describing Web" is a W3C Technical Architecture Group document that explains how web resources should carry or link to enough metadata and semantics to allow automated agents and humans to understand and use them without prior agreement.
-
D.
Finding: Publishing and Linking on the Web
"Finding: Publishing and Linking on the Web" is a W3C Technical Architecture Group document that provides best-practice guidance on how web resources should be published and linked to ensure durability, interoperability, and clarity on the Web.
-
E.
ACM Transactions on the Web
ACM Transactions on the Web is a peer-reviewed scholarly journal published by the Association for Computing Machinery that focuses on research and developments related to web technologies and applications.
- 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_69a49334226c81908b0ea1689ef6aa3f |
completed | March 1, 2026, 7:27 p.m. |
| NER | Named-entity recognition | batch_69a49861195081909540eaf402a5401a |
completed | March 1, 2026, 7:49 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a4d0403b248190a94b44b6073c500b |
completed | March 1, 2026, 11:48 p.m. |
| NEDg | Description generation | batch_69a4d0aefa00819087320c7df48d8998 |
completed | March 1, 2026, 11:50 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a4d130c6f081909b628aeafd2fc319 |
completed | March 1, 2026, 11:52 p.m. |
Created at: March 1, 2026, 7:32 p.m.