Triple

T22608761
Position Surface form Disambiguated ID Type / Status
Subject Data Mining: Concepts and Techniques E566635 entity
Predicate publisher P29 FINISHED
Object Morgan Kaufmann 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: Morgan Kaufmann | Statement: [Data Mining: Concepts and Techniques, publisher, Morgan Kaufmann]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Morgan Kaufmann
Context triple: [Data Mining: Concepts and Techniques, publisher, Morgan Kaufmann]
  • A. Morgan Kaufmann chosen
    Morgan Kaufmann is a prominent academic and professional publishing imprint known for influential books in computer science and engineering.
  • B. Addison-Wesley
    Addison-Wesley is a prominent American publishing company known for its influential textbooks and professional books in science, engineering, and computer science.
  • C. John Wiley & Sons
    John Wiley & Sons is a global publishing company known for its academic, professional, and educational books, journals, and digital content.
  • D. Manning Publications
    Manning Publications is an independent technical book publisher known for its practical, developer-focused titles on programming, software engineering, and emerging technologies.
  • E. Jossey-Bass
    Jossey-Bass is an American publishing imprint known for its books on business, leadership, education, and nonprofit management.
  • 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_69e245884860819081046ce07d5872c4 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f167e86794819097e9c1ea83db52e6 completed April 29, 2026, 2:07 a.m.
Created at: April 17, 2026, 2:55 p.m.