Triple

T7936832
Position Surface form Disambiguated ID Type / Status
Subject Object Modeling Technique E184306 entity
Predicate coCreator P7732 FINISHED
Object William Lorensen
William Lorensen is a computer scientist best known for co-developing the Object Modeling Technique (OMT), an influential object-oriented analysis and design methodology.
 E699657 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: William Lorensen | Statement: [Object Modeling Technique, coCreator, William Lorensen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Lorensen
Context triple: [Object Modeling Technique, coCreator, William Lorensen]
  • A. Loren Carpenter
    Loren Carpenter is a pioneering computer graphics researcher and co-founder of Pixar who helped revolutionize CGI in film through innovations like fractal landscape rendering and the RenderMan system.
  • B. Tony DeRose
    Tony DeRose is a computer scientist and former Pixar senior research scientist renowned for his pioneering work in computer graphics and geometric modeling.
  • C. Andrew Glassner
    Andrew Glassner is a computer graphics researcher and author known for his influential work in rendering, visual storytelling, and educational writing in the field.
  • D. Marc Levoy
    Marc Levoy is a prominent computer scientist and pioneer in computer graphics and computational photography, known for influential research, teaching, and contributions to digital imaging technologies.
  • E. John Knill
    John Knill is a distinguished geologist recognized for his significant contributions to the field, as evidenced by honors such as the William Smith Medal.
  • 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: William Lorensen
Triple: [Object Modeling Technique, coCreator, William Lorensen]
Generated description
William Lorensen is a computer scientist best known for co-developing the Object Modeling Technique (OMT), an influential object-oriented analysis and design methodology.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: William Lorensen
Target entity description: William Lorensen is a computer scientist best known for co-developing the Object Modeling Technique (OMT), an influential object-oriented analysis and design methodology.
  • A. Loren Carpenter
    Loren Carpenter is a pioneering computer graphics researcher and co-founder of Pixar who helped revolutionize CGI in film through innovations like fractal landscape rendering and the RenderMan system.
  • B. Tony DeRose
    Tony DeRose is a computer scientist and former Pixar senior research scientist renowned for his pioneering work in computer graphics and geometric modeling.
  • C. Andrew Glassner
    Andrew Glassner is a computer graphics researcher and author known for his influential work in rendering, visual storytelling, and educational writing in the field.
  • D. Marc Levoy
    Marc Levoy is a prominent computer scientist and pioneer in computer graphics and computational photography, known for influential research, teaching, and contributions to digital imaging technologies.
  • E. John Knill
    John Knill is a distinguished geologist recognized for his significant contributions to the field, as evidenced by honors such as the William Smith Medal.
  • 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_69ca8290c21c8190906a5ca6fe2b03c4 completed March 30, 2026, 2:02 p.m.
NER Named-entity recognition batch_69cb3aede3cc81908b0d3b54e68997b9 completed March 31, 2026, 3:09 a.m.
NED1 Entity disambiguation (via context triple) batch_69cb5c0a96ac819099ad30fb925eb329 completed March 31, 2026, 5:30 a.m.
NEDg Description generation batch_69cb7634f4dc8190b5e537f24bccd651 completed March 31, 2026, 7:22 a.m.
NED2 Entity disambiguation (via description) batch_69cbb67e77a48190b93c6ba61becfac4 completed March 31, 2026, 11:56 a.m.
Created at: March 30, 2026, 5:08 p.m.