Triple

T12516959
Position Surface form Disambiguated ID Type / Status
Subject Scheme R5RS E299212 entity
Predicate editor P1954 FINISHED
Object William Clinger
William Clinger is a computer scientist best known for his influential work on the Scheme programming language and his role in standardizing it.
 E993595 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 Clinger | Statement: [Scheme R5RS, editor, William Clinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: William Clinger
Context triple: [Scheme R5RS, editor, William Clinger]
  • A. William Clinger
    William Clinger is an American politician and former Republican congressman from Pennsylvania known for his leadership on government reform and information technology legislation.
  • B. Ralph Metcalf
    Ralph Metcalf was an American politician who served as governor of New Hampshire in the mid-19th century.
  • C. Charles Fields
    Charles Fields was an individual significant enough in Oregon’s history or local community that a place there was named in his honor.
  • D. Mark Stothert
    Mark Stothert is a music producer best known for his work with the artist Edie.
  • E. John C. Martin
    John C. Martin was an American pharmaceutical executive and scientist best known for leading Gilead Sciences’ rise into a major biopharmaceutical company, particularly in antiviral and HIV/hepatitis C treatments.
  • 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 Clinger
Triple: [Scheme R5RS, editor, William Clinger]
Generated description
William Clinger is a computer scientist best known for his influential work on the Scheme programming language and his role in standardizing it.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: William Clinger
Target entity description: William Clinger is a computer scientist best known for his influential work on the Scheme programming language and his role in standardizing it.
  • A. William Clinger
    William Clinger is an American politician and former Republican congressman from Pennsylvania known for his leadership on government reform and information technology legislation.
  • B. Ralph Metcalf
    Ralph Metcalf was an American politician who served as governor of New Hampshire in the mid-19th century.
  • C. Charles Fields
    Charles Fields was an individual significant enough in Oregon’s history or local community that a place there was named in his honor.
  • D. Mark Stothert
    Mark Stothert is a music producer best known for his work with the artist Edie.
  • E. John C. Martin
    John C. Martin was an American pharmaceutical executive and scientist best known for leading Gilead Sciences’ rise into a major biopharmaceutical company, particularly in antiviral and HIV/hepatitis C treatments.
  • 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_69d6ada5cdd48190860d9ce30aff69be completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d9541f80148190976d1d912fe155d0 completed April 10, 2026, 7:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69f65eac74608190a6f1941ed5a05212 completed May 2, 2026, 8:29 p.m.
NEDg Description generation batch_69f65fadc97081908376913e390cfc3d completed May 2, 2026, 8:33 p.m.
NED2 Entity disambiguation (via description) batch_69f660c3d914819097b57784889ca389 completed May 2, 2026, 8:38 p.m.
Created at: April 8, 2026, 9:57 p.m.