Triple

T3744691
Position Surface form Disambiguated ID Type / Status
Subject Dijkstra E79781 entity
Predicate notableConcept P201 FINISHED
Object banker's algorithm E79782 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: banker's algorithm | Statement: [Dijkstra, notableConcept, banker's algorithm]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: banker's algorithm
Context triple: [Dijkstra, notableConcept, banker's algorithm]
  • A. Banker's algorithm chosen
    Banker's algorithm is a classic deadlock-avoidance algorithm in operating systems that safely allocates resources to processes by simulating and verifying that the system will remain in a safe state.
  • B. CSP (Communicating Sequential Processes)
    CSP (Communicating Sequential Processes) is a formal model for describing and analyzing concurrent systems based on independent processes that interact solely through message-passing communication.
  • C. Marzullo's algorithm
    Marzullo's algorithm is a method for selecting the most likely correct time interval from multiple, possibly conflicting time sources, commonly used in clock synchronization systems.
  • D. Hoare logic
    Hoare logic is a formal system in computer science used to reason rigorously about the correctness of computer programs using logical assertions about program states.
  • E. Davis–Putnam algorithm
    The Davis–Putnam algorithm is a pioneering procedure in automated theorem proving and propositional logic satisfiability that laid foundational groundwork for modern SAT solvers.
  • 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_69ad8b115610819095b02007da5ca3cb completed March 8, 2026, 2:43 p.m.
NER Named-entity recognition batch_69adcb58c9048190a055d1f4a7e6b699 completed March 8, 2026, 7:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4db29b2288190932923a6bf1a7e8e completed March 14, 2026, 3:51 a.m.
Created at: March 8, 2026, 3:34 p.m.