Triple

T8285630
Position Surface form Disambiguated ID Type / Status
Subject QEMU E193779 entity
Predicate supportsDisplayBackend P76291 FINISHED
Object SPICE
SPICE is a remote display and interaction protocol designed to provide high-performance access to virtualized desktops and applications, commonly used with virtualization platforms like QEMU.
 E724170 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: SPICE | Statement: [QEMU, supportsDisplayBackend, SPICE]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: SPICE
Context triple: [QEMU, supportsDisplayBackend, SPICE]
  • A. SPICE
    SPICE is Amazon QuickSight’s in-memory calculation and storage engine designed to enable fast, scalable, and interactive data analysis.
  • B. Tessent
    Tessent is a suite of design-for-test and yield analysis tools from Mentor Graphics (now Siemens EDA) used to improve the testability and reliability of integrated circuits.
  • C. Sparx
    Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
  • D. SPIM
    SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
  • E. SPIRE
    SPIRE is an open-source system for securely issuing and managing identities to workloads in dynamic, cloud-native environments.
  • 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: SPICE
Triple: [QEMU, supportsDisplayBackend, SPICE]
Generated description
SPICE is a remote display and interaction protocol designed to provide high-performance access to virtualized desktops and applications, commonly used with virtualization platforms like QEMU.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: SPICE
Target entity description: SPICE is a remote display and interaction protocol designed to provide high-performance access to virtualized desktops and applications, commonly used with virtualization platforms like QEMU.
  • A. SPICE
    SPICE is Amazon QuickSight’s in-memory calculation and storage engine designed to enable fast, scalable, and interactive data analysis.
  • B. Tessent
    Tessent is a suite of design-for-test and yield analysis tools from Mentor Graphics (now Siemens EDA) used to improve the testability and reliability of integrated circuits.
  • C. Sparx
    Sparx is the loyal dragonfly companion and health indicator who follows Spyro throughout the Spyro the Dragon video game series.
  • D. SPIM
    SPIM was the former ICAO airport code for Jorge Chávez International Airport in Lima, Peru, before it was changed to SPJC.
  • E. SPIRE
    SPIRE is a far-infrared and submillimetre imaging and spectrometer instrument that studied cold dust and gas in the universe aboard the Herschel Space Observatory.
  • 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_69cbd11ed22c819082bf036602eaa038 completed March 31, 2026, 1:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69cd688441908190b6b0a39dfb9d87ac completed April 1, 2026, 6:48 p.m.
NEDg Description generation batch_69cd6d55196881909cf5ec925792e09f completed April 1, 2026, 7:09 p.m.
NED2 Entity disambiguation (via description) batch_69cd7e2bdae08190adc51e904e85695e completed April 1, 2026, 8:21 p.m.
Created at: March 30, 2026, 5:52 p.m.