Triple

T7164923
Position Surface form Disambiguated ID Type / Status
Subject Brian Kernighan E167041 entity
Predicate knownFor P22 FINISHED
Object AMPL modeling language
AMPL modeling language is a high-level algebraic language used to describe and solve large-scale mathematical optimization problems.
 E645517 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: AMPL modeling language | Statement: [Brian Kernighan, knownFor, AMPL modeling language]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: AMPL modeling language
Context triple: [Brian Kernighan, knownFor, AMPL modeling language]
  • A. SCIP
    SCIP is the ICAO airport code for Mataveri International Airport, the main air gateway to Easter Island in Chile.
  • B. CVX
    CVX is the stock ticker symbol for Chevron Corporation, a major American multinational energy and oil company.
  • C. BrainScript modeling language
    BrainScript modeling language is a domain-specific scripting language used to define and train neural network models within the Microsoft Cognitive Toolkit (CNTK).
  • D. ADMM
    ADMM is a regional forum that brings together the defence ministers of ASEAN member states to discuss and coordinate security and defence cooperation in Southeast Asia.
  • E. Simulink
    Simulink is a graphical modeling and simulation environment for designing, simulating, and analyzing dynamic systems, commonly used within MATLAB for control, signal processing, and embedded system development.
  • 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: AMPL modeling language
Triple: [Brian Kernighan, knownFor, AMPL modeling language]
Generated description
AMPL modeling language is a high-level algebraic language used to describe and solve large-scale mathematical optimization problems.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: AMPL modeling language
Target entity description: AMPL modeling language is a high-level algebraic language used to describe and solve large-scale mathematical optimization problems.
  • A. SCIP
    SCIP is the ICAO airport code for Mataveri International Airport, the main air gateway to Easter Island in Chile.
  • B. CVX
    CVX is the stock ticker symbol for Chevron Corporation, a major American multinational energy and oil company.
  • C. BrainScript modeling language
    BrainScript modeling language is a domain-specific scripting language used to define and train neural network models within the Microsoft Cognitive Toolkit (CNTK).
  • D. ADMM
    ADMM is a regional forum that brings together the defence ministers of ASEAN member states to discuss and coordinate security and defence cooperation in Southeast Asia.
  • E. Simulink
    Simulink is a graphical modeling and simulation environment for designing, simulating, and analyzing dynamic systems, commonly used within MATLAB for control, signal processing, and embedded system development.
  • 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_69c68888c10c819095e0383020225758 completed March 27, 2026, 1:39 p.m.
NER Named-entity recognition batch_69c6e832d2548190aacff0de80dbc268 completed March 27, 2026, 8:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69c7adcc145c8190ba65831ed891a225 completed March 28, 2026, 10:30 a.m.
NEDg Description generation batch_69c7ae9111048190b9d68932b15aeab9 completed March 28, 2026, 10:33 a.m.
NED2 Entity disambiguation (via description) batch_69c7af44076481908d770dd92ed55277 completed March 28, 2026, 10:36 a.m.
Created at: March 27, 2026, 2:47 p.m.