Triple

T13368268
Position Surface form Disambiguated ID Type / Status
Subject Exodus and Revolution E318995 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: [Exodus and Revolution, publisher, Basic Books]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Basic Books
Context triple: [Exodus and Revolution, 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. 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_69d806b7bbac8190b85278c87fa7aff3 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dadcd652d48190a782fd1f57f34b6a completed April 11, 2026, 11:44 p.m.
NED1 Entity disambiguation (via context triple) batch_69f72680df088190b8dbcc8ad0d7366e completed May 3, 2026, 10:42 a.m.
Created at: April 9, 2026, 9:32 p.m.