Triple

T2125587
Position Surface form Disambiguated ID Type / Status
Subject Arthur Rock E46416 entity
Predicate boardMemberOf P10 FINISHED
Object Scientific Data Systems
Scientific Data Systems was an early computer company known for producing advanced scientific and real-time computing systems in the 1960s before being acquired by Xerox.
 E236228 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: Scientific Data Systems | Statement: [Arthur Rock, boardMemberOf, Scientific Data Systems]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Scientific Data Systems
Context triple: [Arthur Rock, boardMemberOf, Scientific Data Systems]
  • A. Office of Data Science
    The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
  • B. Data-Driven Discovery Initiative
    The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
  • C. Global Data-processing Centres
    Global Data-processing Centres are specialized facilities that collect, process, and distribute meteorological and related environmental data on a worldwide scale to support forecasting, research, and climate services.
  • D. The Science of Computing
    "The Science of Computing" is a foundational work by Peter J. Denning that explores the principles, theory, and practice underlying computer science as a scientific discipline.
  • E. Global Data-processing and Forecasting System
    The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
  • 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: Scientific Data Systems
Triple: [Arthur Rock, boardMemberOf, Scientific Data Systems]
Generated description
Scientific Data Systems was an early computer company known for producing advanced scientific and real-time computing systems in the 1960s before being acquired by Xerox.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Scientific Data Systems
Target entity description: Scientific Data Systems was an early computer company known for producing advanced scientific and real-time computing systems in the 1960s before being acquired by Xerox.
  • A. Office of Data Science
    The Office of Data Science is a specialized unit that applies advanced data analytics and quantitative methods to support the U.S. Securities and Exchange Commission’s economic, risk, and policy analysis.
  • B. Data-Driven Discovery Initiative
    The Data-Driven Discovery Initiative is a research program that advances scientific discovery by supporting innovative data science methods, tools, and researchers across disciplines.
  • C. Global Data-processing Centres
    Global Data-processing Centres are specialized facilities that collect, process, and distribute meteorological and related environmental data on a worldwide scale to support forecasting, research, and climate services.
  • D. The Science of Computing
    "The Science of Computing" is a foundational work by Peter J. Denning that explores the principles, theory, and practice underlying computer science as a scientific discipline.
  • E. Global Data-processing and Forecasting System
    The Global Data-processing and Forecasting System is an international meteorological infrastructure that collects, processes, and distributes weather and climate data to support global forecasting and early warning services.
  • 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_69a88a1626548190ae59a5028c3baa8e completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abbb57bc6881909f04a407beff33a6 completed March 7, 2026, 5:44 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae519ead088190a8a7229d998732de completed March 9, 2026, 4:50 a.m.
NEDg Description generation batch_69ae526b6bcc8190851b9775611bb93e completed March 9, 2026, 4:54 a.m.
NED2 Entity disambiguation (via description) batch_69ae52d46ef48190bbd6b7cc9fcda2a4 completed March 9, 2026, 4:55 a.m.
Created at: March 4, 2026, 7:44 p.m.