Triple

T4058710
Position Surface form Disambiguated ID Type / Status
Subject Gödel, Escher, Bach E84756 entity
Predicate publisher P29 FINISHED
Object Basic Books E32461 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: Basic Books | Statement: [Gödel, Escher, Bach, publisher, Basic Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basic Books
Context triple: [Gödel, Escher, Bach, publisher, Basic Books]
  • A. Basic Books chosen
    Basic Books is an American publishing company known for releasing influential works in the fields of social sciences, humanities, and public affairs.
  • B. Basic
    Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
  • C. Home Basic
    Home Basic is an entry-level edition of the Windows Vista operating system designed for basic home computing needs with limited multimedia and advanced features.
  • D. BASIC
    BASIC is a family of high-level, beginner-friendly programming languages originally designed to make computer programming more accessible to non-experts.
  • E. The Basic School
    The Basic School is the United States Marine Corps’ primary officer training institution where newly commissioned officers receive foundational leadership and combat instruction.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbd13b4481908f9c09cc4f4a9724 completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a6250081908f289f43b066b04d completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:38 p.m.