Triple

T18221881
Position Surface form Disambiguated ID Type / Status
Subject S programming language E436326 entity
Predicate influenced P9 FINISHED
Object S-PLUS
S-PLUS is a commercial implementation of the S programming language, widely used for advanced statistical analysis and data visualization.
 E1312997 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: S-PLUS | Statement: [S programming language, influenced, S-PLUS]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: S-PLUS
Context triple: [S programming language, influenced, S-PLUS]
  • A. SAS
    SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
  • B. SAS
    SAS is the standard abbreviation used for the Saskatoon Blades, a major junior ice hockey team in the Western Hockey League based in Saskatoon, Saskatchewan.
  • C. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • D. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • E. SAS
    SAS is the standard abbreviation used for the NBA team San Antonio Spurs.
  • 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: S-PLUS
Triple: [S programming language, influenced, S-PLUS]
Generated description
S-PLUS is a commercial implementation of the S programming language, widely used for advanced statistical analysis and data visualization.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: S-PLUS
Target entity description: S-PLUS is a commercial implementation of the S programming language, widely used for advanced statistical analysis and data visualization.
  • A. SAS
    SAS is a widely used statistical software suite for advanced analytics, business intelligence, data management, and predictive modeling.
  • B. SAS
    SAS is the standard abbreviation used for the Saskatoon Blades, a major junior ice hockey team in the Western Hockey League based in Saskatoon, Saskatchewan.
  • C. SAS
    SAS is the School of Arts and Sciences at the University of Pennsylvania, encompassing the university’s core liberal arts and sciences departments and programs.
  • D. SAS
    SAS is a high-speed, point-to-point serial interface standard commonly used to connect enterprise storage devices like hard drives and solid-state drives to servers.
  • E. SAS
    SAS is the standard abbreviation used for the NBA team San Antonio Spurs.
  • 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_69d8b9103a8081908bbb0836fef10efd completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4e47c85108190bd9707b40bdfdb38 completed April 19, 2026, 2:19 p.m.
NED1 Entity disambiguation (via context triple) batch_6a039f1da8948190811c2dc441b63866 completed May 12, 2026, 9:43 p.m.
NEDg Description generation batch_6a03a00195b08190b77a676bc44d1887 completed May 12, 2026, 9:47 p.m.
NED2 Entity disambiguation (via description) batch_6a03a0a4ef148190b6c69f72f019964a completed May 12, 2026, 9:50 p.m.
Created at: April 10, 2026, 10:32 a.m.