Triple

T1614438
Position Surface form Disambiguated ID Type / Status
Subject Robert Kraichnan E34682 entity
Predicate hasNotableConcept P531 FINISHED
Object direct interaction approximation (DIA)
The direct interaction approximation (DIA) is a statistical closure theory in turbulence developed by Robert Kraichnan that models the nonlinear interactions among fluctuating velocity fields to predict turbulent flow properties.
E183470 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: direct interaction approximation (DIA) | Statement: [Robert Kraichnan, hasNotableConcept, direct interaction approximation (DIA)]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: direct interaction approximation (DIA)
Context triple: [Robert Kraichnan, hasNotableConcept, direct interaction approximation (DIA)]
  • A. DIRAC
    DIRAC is a high-energy physics experiment at CERN that investigates fundamental particles and their interactions using the Super Proton Synchrotron’s North Area beamlines.
  • B. DAI
    DAI is the commonly used abbreviation for the German Archaeological Institute, a leading international institution for archaeological research and cultural heritage preservation.
  • C. Herzberg–Teller approximation
    The Herzberg–Teller approximation is a refinement in molecular spectroscopy that accounts for vibronic coupling by allowing electronic transition dipole moments to depend on nuclear coordinates, explaining intensity in otherwise forbidden transitions.
  • D. DIA
    DIA is a major art museum in Detroit, Michigan, renowned for its extensive collection spanning diverse cultures and historical periods, including celebrated European, American, and African American works.
  • E. DIA
    The DIA (Defense Intelligence Agency) is the United States military’s primary foreign intelligence service, responsible for providing defense-related intelligence to policymakers, warfighters, and the intelligence community.
  • 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: direct interaction approximation (DIA)
Triple: [Robert Kraichnan, hasNotableConcept, direct interaction approximation (DIA)]
Generated description
The direct interaction approximation (DIA) is a statistical closure theory in turbulence developed by Robert Kraichnan that models the nonlinear interactions among fluctuating velocity fields to predict turbulent flow properties.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: direct interaction approximation (DIA)
Target entity description: The direct interaction approximation (DIA) is a statistical closure theory in turbulence developed by Robert Kraichnan that models the nonlinear interactions among fluctuating velocity fields to predict turbulent flow properties.
  • A. DIRAC
    DIRAC is a high-energy physics experiment at CERN that investigates fundamental particles and their interactions using the Super Proton Synchrotron’s North Area beamlines.
  • B. DAI
    DAI is the commonly used abbreviation for the German Archaeological Institute, a leading international institution for archaeological research and cultural heritage preservation.
  • C. Herzberg–Teller approximation
    The Herzberg–Teller approximation is a refinement in molecular spectroscopy that accounts for vibronic coupling by allowing electronic transition dipole moments to depend on nuclear coordinates, explaining intensity in otherwise forbidden transitions.
  • D. DIA
    DIA is a major art museum in Detroit, Michigan, renowned for its extensive collection spanning diverse cultures and historical periods, including celebrated European, American, and African American works.
  • E. DIA
    The DIA (Defense Intelligence Agency) is the United States military’s primary foreign intelligence service, responsible for providing defense-related intelligence to policymakers, warfighters, and the intelligence community.
  • 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_69a885ffc5ec819091afa325d5f9611c completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69a9098f384c81909ef836ee779466e2 completed March 5, 2026, 4:41 a.m.
NED1 Entity disambiguation (via context triple) batch_69ad51ca2bc48190abb83f4d84782334 completed March 8, 2026, 10:39 a.m.
NEDg Description generation batch_69ad55d41c048190a2d85dc19bc56242 completed March 8, 2026, 10:56 a.m.
NED2 Entity disambiguation (via description) batch_69ad564aed808190a58dbf3a84780255 completed March 8, 2026, 10:58 a.m.
Created at: March 4, 2026, 7:28 p.m.