Triple

T10442719
Position Surface form Disambiguated ID Type / Status
Subject Letters to a Young Gymnast E246207 entity
Predicate originalPublisher P1760 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: [Letters to a Young Gymnast, originalPublisher, Basic Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basic Books
Context triple: [Letters to a Young Gymnast, originalPublisher, 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. Beginner Books
    Beginner Books is a popular line of early-reader children's books, originally developed by Dr. Seuss and others to help young children learn to read through simple vocabulary and engaging stories.
  • C. Basic
    Basic is a 2003 mystery-thriller film directed by John McTiernan, centered on a complex investigation into the disappearance of U.S. Army Rangers during a training mission in Panama.
  • D. Basic
    Basic is a discount cigarette brand produced and marketed by Philip Morris USA.
  • E. Basic
    Basic is a simple HTTP authentication scheme defined in RFC 2617 that transmits user credentials encoded in Base64, typically over a secure transport like HTTPS.
  • 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_69d381c04fe08190957c26c526a3b05a completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4fdbd731c819084dfff83b4481ae8 completed April 7, 2026, 12:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69d87ee0c2208190ae8d51a2a89a2586 completed April 10, 2026, 4:38 a.m.
Created at: April 6, 2026, 12:15 p.m.