Triple

T13421416
Position Surface form Disambiguated ID Type / Status
Subject ASIS&T Award of Merit E313366 entity
Predicate notableRecipient P108 FINISHED
Object Karen Spärck Jones
Karen Spärck Jones was a pioneering British computer scientist best known for her foundational contributions to information retrieval and natural language processing, including the development of inverse document frequency (IDF).
E1038982 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: Karen Spärck Jones | Statement: [ASIS&T Award of Merit, notableRecipient, Karen Spärck Jones]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Karen Spärck Jones
Context triple: [ASIS&T Award of Merit, notableRecipient, Karen Spärck Jones]
  • A. Margo Seltzer
    Margo Seltzer is a prominent American computer scientist known for her influential work in file systems, databases, and performance analysis, and for her leadership in both academia and industry.
  • B. Deborah McGuinness
    Deborah McGuinness is a prominent computer scientist known for her work in knowledge representation, ontologies, and the Semantic Web.
  • C. Dorothy Varian
    Dorothy Varian was an American artist and painter associated with early 20th-century New York art circles and known for her studies under influential realist Kenneth Hayes Miller.
  • D. Frances Allen
    Frances Allen was a pioneering American computer scientist renowned for her groundbreaking work in compiler optimization and parallel computing, and as the first woman to win the Turing Award.
  • E. Constance M. Burge
    Constance M. Burge is an American television writer and producer best known for developing and producing popular drama series in the late 1990s and early 2000s.
  • 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: Karen Spärck Jones
Triple: [ASIS&T Award of Merit, notableRecipient, Karen Spärck Jones]
Generated description
Karen Spärck Jones was a pioneering British computer scientist best known for her foundational contributions to information retrieval and natural language processing, including the development of inverse document frequency (IDF).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Karen Spärck Jones
Target entity description: Karen Spärck Jones was a pioneering British computer scientist best known for her foundational contributions to information retrieval and natural language processing, including the development of inverse document frequency (IDF).
  • A. Margo Seltzer
    Margo Seltzer is a prominent American computer scientist known for her influential work in file systems, databases, and performance analysis, and for her leadership in both academia and industry.
  • B. Deborah McGuinness
    Deborah McGuinness is a prominent computer scientist known for her work in knowledge representation, ontologies, and the Semantic Web.
  • C. Dorothy Varian
    Dorothy Varian was an American artist and painter associated with early 20th-century New York art circles and known for her studies under influential realist Kenneth Hayes Miller.
  • D. Frances Allen
    Frances Allen was a pioneering American computer scientist renowned for her groundbreaking work in compiler optimization and parallel computing, and as the first woman to win the Turing Award.
  • E. Constance M. Burge
    Constance M. Burge is an American television writer and producer best known for developing and producing popular drama series in the late 1990s and early 2000s.
  • 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_69d806ad0c44819088833ae1ec9e9690 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaeb98e808190948013e8f24779c6 completed April 12, 2026, 2:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7308493e481909da52f8bbcc0bd6b completed May 3, 2026, 11:24 a.m.
NEDg Description generation batch_69f73195e4d88190ad356d0e3e18d34f completed May 3, 2026, 11:29 a.m.
NED2 Entity disambiguation (via description) batch_69f73220ffc08190bfb1b89757efd606 completed May 3, 2026, 11:31 a.m.
Created at: April 9, 2026, 9:39 p.m.