Triple

T18300688
Position Surface form Disambiguated ID Type / Status
Subject Tianshou E438349 entity
Predicate supportsAlgorithm P203 FINISHED
Object SAC NE NERFINISHED

How this triple was built (3 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: SAC | Statement: [Tianshou, supportsAlgorithm, SAC]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: SAC
Context triple: [Tianshou, supportsAlgorithm, SAC]
  • A. SAC
    SAC is a NATO-led multinational program that provides participating nations with shared strategic airlift capabilities using a fleet of C-17 Globemaster III aircraft.
  • B. SAC
    SAC is the commonly used abbreviation for the United States Air Force’s former Strategic Air Command, which oversaw America’s land-based nuclear bombers and missiles during much of the Cold War.
  • C. SAC
    The SAC is the abbreviated name commonly used for the State Affairs Commission, the top governing body in North Korea responsible for major state policy and leadership.
  • D. SAC
    The SAC is Myanmar’s military junta that seized power in the 2021 coup and has since served as the country’s de facto governing authority.
  • E. SAC
    SAC is the National Rail station code for St Albans City railway station in Hertfordshire, England.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: SAC
Target entity description: SAC (Soft Actor-Critic) is an off-policy deep reinforcement learning algorithm that combines entropy maximization with actor-critic methods to achieve stable and sample-efficient continuous control.
  • A. SAC chosen
    SAC (Soft Actor-Critic) is a popular off-policy deep reinforcement learning algorithm that optimizes both expected return and policy entropy to achieve stable and efficient learning in continuous control tasks.
  • B. SAC
    The SAC is the abbreviated name commonly used for the State Affairs Commission, the top governing body in North Korea responsible for major state policy and leadership.
  • C. SAC
    SAC is the commonly used abbreviation for the United States Air Force’s former Strategic Air Command, which oversaw America’s land-based nuclear bombers and missiles during much of the Cold War.
  • D. SAC
    SAC is the commonly used abbreviation for the Sheriff Appeal Court, a Scottish appellate court that hears civil and criminal appeals from sheriff courts.
  • E. SAC
    The SAC is Myanmar’s military junta that seized power in the 2021 coup and has since served as the country’s de facto governing authority.
  • F. None of above.

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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017f63dc819083a675d570620f2f completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.