Triple

T8290041
Position Surface form Disambiguated ID Type / Status
Subject Windows Display Driver Model E193870 entity
Predicate enablesFeature P203 FINISHED
Object Timeout Detection and Recovery
Timeout Detection and Recovery is a Windows graphics subsystem mechanism that monitors GPU responsiveness and automatically resets the graphics driver to prevent system hangs or crashes.
E723442 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: Timeout Detection and Recovery | Statement: [Windows Display Driver Model, enablesFeature, Timeout Detection and Recovery]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Timeout Detection and Recovery
Context triple: [Windows Display Driver Model, enablesFeature, Timeout Detection and Recovery]
  • A. IEEE 802.1CB Frame Replication and Elimination for Reliability
    IEEE 802.1CB Frame Replication and Elimination for Reliability is an Ethernet Time-Sensitive Networking (TSN) standard that enhances reliability by duplicating critical traffic across multiple paths and removing redundant copies at the receiver to prevent packet loss.
  • B. Random Early Detection
    Random Early Detection is a congestion avoidance mechanism for packet-switched networks that probabilistically drops packets before a queue becomes full to signal and control incipient congestion.
  • C. "Reaching Agreement in the Presence of Faults"
    "Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
  • D. QUIC Loss Detection and Congestion Control
    QUIC Loss Detection and Congestion Control is an IETF specification that defines how the QUIC transport protocol detects packet loss and manages congestion to ensure efficient and reliable data transmission on the internet.
  • E. Real Application Clusters
    Real Application Clusters is an Oracle Database technology that enables multiple servers to run a single database instance concurrently for high availability and scalable performance.
  • 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: Timeout Detection and Recovery
Triple: [Windows Display Driver Model, enablesFeature, Timeout Detection and Recovery]
Generated description
Timeout Detection and Recovery is a Windows graphics subsystem mechanism that monitors GPU responsiveness and automatically resets the graphics driver to prevent system hangs or crashes.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Timeout Detection and Recovery
Target entity description: Timeout Detection and Recovery is a Windows graphics subsystem mechanism that monitors GPU responsiveness and automatically resets the graphics driver to prevent system hangs or crashes.
  • A. IEEE 802.1CB Frame Replication and Elimination for Reliability
    IEEE 802.1CB Frame Replication and Elimination for Reliability is an Ethernet Time-Sensitive Networking (TSN) standard that enhances reliability by duplicating critical traffic across multiple paths and removing redundant copies at the receiver to prevent packet loss.
  • B. Random Early Detection
    Random Early Detection is a congestion avoidance mechanism for packet-switched networks that probabilistically drops packets before a queue becomes full to signal and control incipient congestion.
  • C. "Reaching Agreement in the Presence of Faults"
    "Reaching Agreement in the Presence of Faults" is a seminal paper in distributed computing that introduced the Byzantine Generals Problem and laid the foundations for understanding consensus in unreliable, fault-prone systems.
  • D. QUIC Loss Detection and Congestion Control
    QUIC Loss Detection and Congestion Control is an IETF specification that defines how the QUIC transport protocol detects packet loss and manages congestion to ensure efficient and reliable data transmission on the internet.
  • E. Real Application Clusters
    Real Application Clusters is an Oracle Database technology that enables multiple servers to run a single database instance concurrently for high availability and scalable performance.
  • 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_69ca82e32db481908b72f3804fa71152 completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb7c99fdd48190a3f304237be609a0 completed March 31, 2026, 7:49 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd68916c5481908c42f259298b0670 completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d567c3c81908a7ec5bc13be529d completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e3e2f848190a22ad8739bb8e298 completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.