Triple

T1531219
Position Surface form Disambiguated ID Type / Status
Subject The Art of Computer Programming E32446 entity
Predicate hasFictionalMachine P15645 FINISHED
Object MIX
MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
E173596 NE FINISHED

How this triple was built (5 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: MIX | Statement: [The Art of Computer Programming, hasFictionalMachine, MIX]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MIX
Context triple: [The Art of Computer Programming, hasFictionalMachine, MIX]
  • A. In the Mix
    In the Mix is a 2005 romantic comedy-crime film starring Usher as a DJ who becomes a bodyguard entangled in a mob family's affairs.
  • B. MUS
    MUS is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritius for international identification and data standards.
  • C. MUS
    MUS is the standard abbreviation used to refer to Museum station, a public transit stop.
  • D. MV
    MV is the vehicle registration code for the German federal state of Mecklenburg-Vorpommern.
  • E. Multiplex
    Multiplex is a global construction contractor known for delivering large-scale, high-profile projects, including major sports and entertainment venues.
  • 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: MIX
Triple: [The Art of Computer Programming, hasFictionalMachine, MIX]
Generated description
MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MIX
Target entity description: MIX is Donald Knuth’s hypothetical computer architecture used in *The Art of Computer Programming* to illustrate and analyze algorithms in a machine-level context.
  • A. In the Mix
    In the Mix is a 2005 romantic comedy-crime film starring Usher as a DJ who becomes a bodyguard entangled in a mob family's affairs.
  • B. MUS
    MUS is the three-letter ISO 3166-1 alpha-3 country code assigned to Mauritius for international identification and data standards.
  • C. MUS
    MUS is the standard abbreviation used to refer to Museum station, a public transit stop.
  • D. MV
    MV is the vehicle registration code for the German federal state of Mecklenburg-Vorpommern.
  • E. Multiplex
    Multiplex is a global construction contractor known for delivering large-scale, high-profile projects, including major sports and entertainment venues.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: hasFictionalMachine
Context triple: [The Art of Computer Programming, hasFictionalMachine, MIX]
  • A. hasFictionalUniverseElement chosen
    Indicates that one entity is a component, feature, or constituent part of the fictional universe represented by the other entity.
  • B. hasFictionalProprietor
    Indicates that something is owned, managed, or run by a fictional character or entity within a narrative context.
  • C. manufacturedBy
    Indicates that an item or product is produced or created by a specific manufacturer or maker.
  • D. isMechanicalOrElectronic
    Indicates that something operates using mechanical components, electronic components, or a combination of both.
  • E. hasNotableFictionalBearer
    Indicates that an entity is associated with at least one well-known fictional character that bears its name or designation.
  • F. None of above.

Provenance (6 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_69a885ea86308190998f6bc14bb91f8e completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a933ddc5a881909cdf503f2bc29bd4 completed March 5, 2026, 7:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad2957e6e4819087504a16bc32d60b completed March 8, 2026, 7:46 a.m.
NEDg Description generation batch_69ad2a18a79c81908f04ba9aa55d52a0 completed March 8, 2026, 7:49 a.m.
NED2 Entity disambiguation (via description) batch_69ad2a8deae8819095731fdd1b4bd310 completed March 8, 2026, 7:51 a.m.
PD Predicate disambiguation batch_69a907ae8f688190ad9000ea1e018585 completed March 5, 2026, 4:33 a.m.
Created at: March 4, 2026, 7:26 p.m.