Triple

T17958215
Position Surface form Disambiguated ID Type / Status
Subject Book I E449007 entity
Predicate title P38 FINISHED
Object Book I 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: Book I | Statement: [Book I, title, Book I]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Book I
Context triple: [Book I, title, Book I]
  • A. Book I
    Book I is the first section of Hugo Grotius’s seminal work *De iure belli ac pacis*, in which he lays out the foundational principles of natural law and just war theory.
  • B. Book I
    Book I is the opening section of Augustine’s monumental Christian philosophical work *The City of God*, in which he begins responding to pagan criticisms of Christianity after the sack of Rome.
  • C. Book I
    Book I is the opening section of Aristotle’s treatise *Rhetoric*, in which he lays out the fundamental principles and purposes of persuasive speech.
  • D. Book I
    Book I is the opening section of Aristotle’s biological treatise "Generation of Animals," where he lays out foundational theories on reproduction and the development of living beings.
  • E. Book I
    Book I is the opening section of Leon Battista Alberti’s architectural treatise *De re aedificatoria*, laying out its foundational principles and theoretical framework.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide. chosen

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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4afb16bfc8190b3eb433a90f0630d completed April 19, 2026, 10:34 a.m.
Created at: April 10, 2026, 10:21 a.m.