Triple

T10944590
Position Surface form Disambiguated ID Type / Status
Subject Orna Grumberg E258561 entity
Predicate coAuthorOf P2389 FINISHED
Object Model Checking E241708 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: Model Checking | Statement: [Orna Grumberg, coAuthorOf, Model Checking]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Model Checking
Context triple: [Orna Grumberg, coAuthorOf, Model Checking]
  • A. Model Checking (book) chosen
    "Model Checking" is a foundational textbook that systematically presents the theory and practice of using automated verification techniques to prove correctness properties of hardware and software systems.
  • B. Symbolic Model Checking
    Symbolic Model Checking is a formal verification technique that uses symbolic representations, such as binary decision diagrams, to efficiently verify properties of hardware and software systems with very large state spaces.
  • C. SPIN model checker
    SPIN is a widely used open-source model checker designed for the formal verification of distributed software systems and communication protocols.
  • D. Temporal Verification of Reactive Systems
    "Temporal Verification of Reactive Systems" is a foundational book in formal methods that presents rigorous techniques for specifying and verifying the correctness of reactive and concurrent systems using temporal logic.
  • E. PRISM probabilistic model checker
    PRISM probabilistic model checker is a formal verification tool used to model, analyze, and verify systems that exhibit probabilistic behavior, such as randomized algorithms and communication or security protocols.
  • 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_69d6aa8769b4819082bfe5e61b9017f0 completed April 8, 2026, 7:20 p.m.
NER Named-entity recognition batch_69d770c4d59481908a5900fc8cf9ecc3 completed April 9, 2026, 9:26 a.m.
NED1 Entity disambiguation (via context triple) batch_69e23c2dea008190af68336a096b7f7c completed April 17, 2026, 1:57 p.m.
Created at: April 8, 2026, 9:23 p.m.