Triple

T15511888
Position Surface form Disambiguated ID Type / Status
Subject Christopher Manning E368728 entity
Predicate coAuthorOf P2389 FINISHED
Object Introduction to Information Retrieval
Introduction to Information Retrieval is a widely used academic textbook that provides a comprehensive foundation in the principles, algorithms, and evaluation methods of modern information retrieval and search engines.
E1160180 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: Introduction to Information Retrieval | Statement: [Christopher Manning, coAuthorOf, Introduction to Information Retrieval]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Introduction to Information Retrieval
Context triple: [Christopher Manning, coAuthorOf, Introduction to Information Retrieval]
  • A. 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.
  • B. COSMAS II corpus search system
    COSMAS II corpus search system is a large-scale linguistic search platform for German language text corpora, maintained by the Institut für Deutsche Sprache for research and lexicographic analysis.
  • C. ACM International Conference on Web Search and Data Mining
    The ACM International Conference on Web Search and Data Mining (WSDM) is a leading annual computer science research conference focusing on web search, data mining, and related areas of information retrieval and machine learning.
  • D. Data Mining: The Textbook
    Data Mining: The Textbook is a comprehensive academic book that systematically covers the principles, algorithms, and applications of data mining and knowledge discovery in databases.
  • E. Resnik
    Resnik is a surname most notably associated with Judith Resnik, the American astronaut who died in the Space Shuttle Challenger disaster.
  • 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: Introduction to Information Retrieval
Triple: [Christopher Manning, coAuthorOf, Introduction to Information Retrieval]
Generated description
Introduction to Information Retrieval is a widely used academic textbook that provides a comprehensive foundation in the principles, algorithms, and evaluation methods of modern information retrieval and search engines.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Introduction to Information Retrieval
Target entity description: Introduction to Information Retrieval is a widely used academic textbook that provides a comprehensive foundation in the principles, algorithms, and evaluation methods of modern information retrieval and search engines.
  • A. 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.
  • B. COSMAS II corpus search system
    COSMAS II corpus search system is a large-scale linguistic search platform for German language text corpora, maintained by the Institut für Deutsche Sprache for research and lexicographic analysis.
  • C. ACM International Conference on Web Search and Data Mining
    The ACM International Conference on Web Search and Data Mining (WSDM) is a leading annual computer science research conference focusing on web search, data mining, and related areas of information retrieval and machine learning.
  • D. Data Mining: The Textbook
    Data Mining: The Textbook is a comprehensive academic book that systematically covers the principles, algorithms, and applications of data mining and knowledge discovery in databases.
  • E. Resnik
    Resnik is a surname most notably associated with Judith Resnik, the American astronaut who died in the Space Shuttle Challenger disaster.
  • 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_69d85a1794cc8190b0b428716296e63e completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e04030c0208190a1931ea130075603 completed April 16, 2026, 1:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69ff3671a4448190b81edae6ff2669a7 completed May 9, 2026, 1:28 p.m.
NEDg Description generation batch_69ff3725d74081908603d9970857c8b6 completed May 9, 2026, 1:31 p.m.
NED2 Entity disambiguation (via description) batch_69ff37ce835c81909d4538fa4cbfe91f completed May 9, 2026, 1:34 p.m.
Created at: April 10, 2026, 3:56 a.m.