Triple

T920715
Position Surface form Disambiguated ID Type / Status
Subject O'Reilly Media E19876 entity
Predicate name P16 FINISHED
Object O'Reilly Media E19876 NE FINISHED

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: O'Reilly Media | Statement: [O'Reilly Media, name, O'Reilly Media]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: O'Reilly Media
Context triple: [O'Reilly Media, name, O'Reilly Media]
  • A. O'Reilly Media chosen
    O'Reilly Media is a prominent technology and learning company known for its influential tech books, online training, and conferences that have shaped modern software and internet culture.
  • 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. Tim O'Reilly
    Tim O'Reilly is a prominent technology publisher, author, and founder of O'Reilly Media, known for popularizing terms like "open source" and "Web 2.0" and for his influential role in shaping the modern tech industry.
  • D. GNU Press
    GNU Press is the publishing arm of the GNU Project that produces and distributes books and materials advocating free software principles and digital freedom.
  • E. MIT Press
    MIT Press is a renowned academic publishing house affiliated with the Massachusetts Institute of Technology, known for influential works in science, technology, linguistics, and the humanities.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69a493a099788190a696d9d8408cbaf4 completed March 1, 2026, 7:29 p.m.
NER Named-entity recognition batch_69a4b3120dbc81908362158fe3ffa889 completed March 1, 2026, 9:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69a7cf6486d88190b53cd743b08eef33 completed March 4, 2026, 6:21 a.m.
Created at: March 1, 2026, 7:40 p.m.