Triple

T7964293
Position Surface form Disambiguated ID Type / Status
Subject Dot da Genius E184958 entity
Predicate producedFor P1576 FINISHED
Object Logic E93828 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: Logic | Statement: [Dot da Genius, producedFor, Logic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Logic
Context triple: [Dot da Genius, producedFor, Logic]
  • A. Logic chosen
    Logic is an American rapper, singer, songwriter, and record producer known for his intricate lyricism, concept albums, and work addressing mental health and social issues.
  • B. Logik
    Logik is a foundational work on formal logic by German philosopher and mathematician Gottlob Frege, contributing significantly to the development of modern logic and the philosophy of language.
  • C. Formal Logic
    Formal Logic is a foundational 19th-century work in mathematical logic that systematically develops the principles of symbolic reasoning and inference.
  • D. Logic and Knowledge
    Logic and Knowledge is a collection of philosophical and logical essays by Bertrand Russell that includes influential papers on language, logic, and epistemology.
  • E. Description Logic
    Description Logic is a family of formal knowledge representation languages used to model and reason about the concepts and relationships within a domain, forming the logical foundation of ontology languages like OWL.
  • 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_69ca8293a2388190aace944d7ed9c0c0 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3ba0da588190853dda68bba0755a completed March 31, 2026, 3:12 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc566afad88190b53f228d836619de completed March 31, 2026, 11:19 p.m.
Created at: March 30, 2026, 5:12 p.m.