Triple

T5357424
Position Surface form Disambiguated ID Type / Status
Subject Dale Miller E102730 entity
Predicate influencedBy P9 FINISHED
Object linear logic
Linear logic is a substructural logic introduced by Jean-Yves Girard that treats logical propositions as resources, carefully tracking their use to model state change, concurrency, and resource-sensitive computation.
E514255 NE FINISHED

How this triple was built (4 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: linear logic | Statement: [Dale Miller, influencedBy, linear logic]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: linear logic
Context triple: [Dale Miller, influencedBy, linear logic]
  • A. 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.
  • B. Intensional Logic
    Intensional Logic is a branch of logic that studies meaning, modality, and context-dependence in language and reasoning, extending classical logic to handle notions like necessity, belief, and time.
  • C. Proof Methods for Modal and Intuitionistic Logics
    "Proof Methods for Modal and Intuitionistic Logics" is a foundational textbook by logician Melvin Fitting that systematically develops semantic and proof-theoretic techniques for reasoning in modal and intuitionistic logic systems.
  • D. linear temporal logic
    Linear temporal logic is a modal temporal logic used in computer science and formal methods to specify and reason about the behavior of systems over linear sequences of time, using operators that describe how properties evolve in the future.
  • E. Leibnizian logic
    Leibnizian logic is the rationalist, formal approach to logic and calculation developed by Gottfried Wilhelm Leibniz, emphasizing symbolic representation, logical calculus, and the reduction of mathematical and philosophical reasoning to precise logical principles.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: linear logic
Triple: [Dale Miller, influencedBy, linear logic]
Generated description
Linear logic is a substructural logic introduced by Jean-Yves Girard that treats logical propositions as resources, carefully tracking their use to model state change, concurrency, and resource-sensitive computation.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: linear logic
Target entity description: Linear logic is a substructural logic introduced by Jean-Yves Girard that treats logical propositions as resources, carefully tracking their use to model state change, concurrency, and resource-sensitive computation.
  • A. 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.
  • B. Intensional Logic
    Intensional Logic is a branch of logic that studies meaning, modality, and context-dependence in language and reasoning, extending classical logic to handle notions like necessity, belief, and time.
  • C. Proof Methods for Modal and Intuitionistic Logics
    "Proof Methods for Modal and Intuitionistic Logics" is a foundational textbook by logician Melvin Fitting that systematically develops semantic and proof-theoretic techniques for reasoning in modal and intuitionistic logic systems.
  • D. linear temporal logic
    Linear temporal logic is a modal temporal logic used in computer science and formal methods to specify and reason about the behavior of systems over linear sequences of time, using operators that describe how properties evolve in the future.
  • E. Leibnizian logic
    Leibnizian logic is the rationalist, formal approach to logic and calculation developed by Gottfried Wilhelm Leibniz, emphasizing symbolic representation, logical calculus, and the reduction of mathematical and philosophical reasoning to precise logical principles.
  • F. None of above. chosen

Provenance (5 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_69bd43d8f7248190b64c140734b5c9a8 completed March 20, 2026, 12:55 p.m.
NER Named-entity recognition batch_69bd863099b081909d20f7014b98de5a completed March 20, 2026, 5:38 p.m.
NED1 Entity disambiguation (via context triple) batch_69bf21e6762481909278935a4eeee177 completed March 21, 2026, 10:55 p.m.
NEDg Description generation batch_69bf228956d481909e9f3c11f4597cce completed March 21, 2026, 10:58 p.m.
NED2 Entity disambiguation (via description) batch_69bf230b571481909f76ada72d94c8d8 completed March 21, 2026, 11 p.m.
Created at: March 20, 2026, 2:01 p.m.