Triple

T272507
Position Surface form Disambiguated ID Type / Status
Subject IBM PC E5665 entity
Predicate graphicsAdapter P8612 FINISHED
Object MDA
MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
E35355 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: MDA | Statement: [IBM PC, graphicsAdapter, MDA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: MDA
Context triple: [IBM PC, graphicsAdapter, MDA]
  • A. MDP
    MDP is the stock ticker symbol for Meredith Corporation, a former American media and marketing company known for its magazine publishing and broadcasting operations.
  • B. MIA
    MIA is the standard three-letter abbreviation used to represent the Miami Marlins Major League Baseball team.
  • C. MIA
    MIA is the UN/LOCODE designation for Miami, a major coastal city and transportation hub in the U.S. state of Florida.
  • D. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • E. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • 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: MDA
Triple: [IBM PC, graphicsAdapter, MDA]
Generated description
MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: MDA
Target entity description: MDA (Monochrome Display Adapter) is IBM's original text-only video display standard for early IBM PCs, providing high-resolution monochrome output without graphics capabilities.
  • A. MDP
    MDP is the stock ticker symbol for Meredith Corporation, a former American media and marketing company known for its magazine publishing and broadcasting operations.
  • B. MIA
    MIA is the standard three-letter abbreviation used to represent the Miami Marlins Major League Baseball team.
  • C. MIA
    MIA is the UN/LOCODE designation for Miami, a major coastal city and transportation hub in the U.S. state of Florida.
  • D. MGA
    MGA is the commonly used abbreviation for the Maryland General Assembly, the state’s bicameral legislative body.
  • E. MAB
    MAB is a German bibliographic data format used for cataloging and exchanging library records, closely related to and historically aligned with MARC standards.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: graphicsAdapter
Context triple: [IBM PC, graphicsAdapter, MDA]
  • A. displayResolution
    Indicates the relationship specifying the width and height dimensions at which visual content is rendered or shown on a display.
  • B. adaptedTo
    Indicates that one entity has been modified, adjusted, or evolved to function effectively within the conditions, requirements, or characteristics defined by another entity.
  • C. adaptationType
    Indicates the specific kind or category of adaptation that relates one entity to another or to a particular context.
  • D. canBeAdaptedBy
    Indicates that one entity is capable of being modified, adjusted, or tailored for use by another entity.
  • E. platformNeutral
    Indicates that something is compatible with, applicable to, or designed to work across multiple platforms without dependence on any specific one.
  • F. None of above. chosen

Provenance (7 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_69a25853594c8190b05ec3a586ec88bf completed Feb. 28, 2026, 2:52 a.m.
NER Named-entity recognition batch_69a25dcf667c8190a7b8630fe67b9a90 completed Feb. 28, 2026, 3:15 a.m.
NED1 Entity disambiguation (via context triple) batch_69a38f537f1c8190a59ac4669498a3fc completed March 1, 2026, 12:58 a.m.
NEDg Description generation batch_69a38fbfac808190b2b551dcbfe6faff completed March 1, 2026, 1 a.m.
NED2 Entity disambiguation (via description) batch_69a3903779e88190a00c44a522e82022 completed March 1, 2026, 1:02 a.m.
PD Predicate disambiguation batch_69a25b7345c4819086c21710864a1b42 completed Feb. 28, 2026, 3:05 a.m.
PDg Predicate description generation batch_69a25c036b54819090a101c4cbdbcff7 completed Feb. 28, 2026, 3:07 a.m.
Created at: Feb. 28, 2026, 2:57 a.m.