Triple

T12128702
Position Surface form Disambiguated ID Type / Status
Subject IBM 650 E288875 entity
Predicate programmingLanguage P1592 FINISHED
Object Symbolic Optimal Assembly Program
Symbolic Optimal Assembly Program is an early assembly language system developed for the IBM 650 computer to facilitate more efficient and manageable machine-level programming.
E967914 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: Symbolic Optimal Assembly Program | Statement: [IBM 650, programmingLanguage, Symbolic Optimal Assembly Program]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Symbolic Optimal Assembly Program
Context triple: [IBM 650, programmingLanguage, Symbolic Optimal Assembly Program]
  • A. The Efficient Baxter
    The Efficient Baxter is a character known for their resourceful, streamlined approach to tasks and problem-solving.
  • B. Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability
    Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability is a foundational monograph by Marcus Hutter that rigorously develops a formal, mathematical theory of general artificial intelligence based on algorithmic information theory and optimal sequential decision-making.
  • C. Technical Committee on Robot Learning
    The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
  • D. Soar cognitive architecture
    The Soar cognitive architecture is a general-purpose framework for modeling and understanding human cognition through unified theories of problem solving, learning, and decision-making.
  • E. The Architecture Machine
    The Architecture Machine is a seminal book by Nicholas Negroponte that explores the concept of interactive, computer-based design systems and their implications for architecture and human–machine collaboration.
  • 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: Symbolic Optimal Assembly Program
Triple: [IBM 650, programmingLanguage, Symbolic Optimal Assembly Program]
Generated description
Symbolic Optimal Assembly Program is an early assembly language system developed for the IBM 650 computer to facilitate more efficient and manageable machine-level programming.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Symbolic Optimal Assembly Program
Target entity description: Symbolic Optimal Assembly Program is an early assembly language system developed for the IBM 650 computer to facilitate more efficient and manageable machine-level programming.
  • A. The Efficient Baxter
    The Efficient Baxter is a character known for their resourceful, streamlined approach to tasks and problem-solving.
  • B. Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability
    Universal Artificial Intelligence: Sequential Decisions based on Algorithmic Probability is a foundational monograph by Marcus Hutter that rigorously develops a formal, mathematical theory of general artificial intelligence based on algorithmic information theory and optimal sequential decision-making.
  • C. Technical Committee on Robot Learning
    The Technical Committee on Robot Learning is a specialized IEEE Robotics and Automation Society group that advances research and collaboration at the intersection of machine learning and robotics.
  • D. Soar cognitive architecture
    The Soar cognitive architecture is a general-purpose framework for modeling and understanding human cognition through unified theories of problem solving, learning, and decision-making.
  • E. The Architecture Machine
    The Architecture Machine is a seminal book by Nicholas Negroponte that explores the concept of interactive, computer-based design systems and their implications for architecture and human–machine collaboration.
  • 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_69d6ab4b5e4c81909950b17151eb0951 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d9158a2c2c8190aaff9d0cce177565 completed April 10, 2026, 3:21 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f68ac15c81908388dd3194e9dfc4 completed May 2, 2026, 1:05 p.m.
NEDg Description generation batch_69f6048d6f24819093862fb46f9938f1 completed May 2, 2026, 2:05 p.m.
NED2 Entity disambiguation (via description) batch_69f6056e3fdc81908e6e97c4c37a18bb completed May 2, 2026, 2:08 p.m.
Created at: April 8, 2026, 9:49 p.m.