Triple

T8251314
Position Surface form Disambiguated ID Type / Status
Subject NMC Fellows Award E192962 entity
Predicate notableRecipient P108 FINISHED
Object Diana G. Oblinger
Diana G. Oblinger is an American educator and former president and CEO of EDUCAUSE, known for her leadership in advancing technology-enhanced learning and innovation in higher education.
E721543 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: Diana G. Oblinger | Statement: [NMC Fellows Award, notableRecipient, Diana G. Oblinger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Diana G. Oblinger
Context triple: [NMC Fellows Award, notableRecipient, Diana G. Oblinger]
  • A. Margaret Martonosi
    Margaret Martonosi is a prominent computer architect and Princeton University professor known for her influential research in power-aware computing, computer architecture, and hardware–software interface design.
  • B. Thomas M. Davenport
    Thomas M. Davenport is an individual honored as the namesake of the University of Virginia’s baseball stadium, reflecting his significant contributions or support to the program.
  • C. Esther Dyson
    Esther Dyson is a prominent technology investor, journalist, and philanthropist known for her early involvement in the digital economy and advocacy on issues such as health, space, and technology policy.
  • D. 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.
  • E. Gail J. McGovern
    Gail J. McGovern is an American business executive and nonprofit leader best known for serving as president and CEO of the American Red Cross.
  • 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: Diana G. Oblinger
Triple: [NMC Fellows Award, notableRecipient, Diana G. Oblinger]
Generated description
Diana G. Oblinger is an American educator and former president and CEO of EDUCAUSE, known for her leadership in advancing technology-enhanced learning and innovation in higher education.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Diana G. Oblinger
Target entity description: Diana G. Oblinger is an American educator and former president and CEO of EDUCAUSE, known for her leadership in advancing technology-enhanced learning and innovation in higher education.
  • A. Margaret Martonosi
    Margaret Martonosi is a prominent computer architect and Princeton University professor known for her influential research in power-aware computing, computer architecture, and hardware–software interface design.
  • B. Thomas M. Davenport
    Thomas M. Davenport is an individual honored as the namesake of the University of Virginia’s baseball stadium, reflecting his significant contributions or support to the program.
  • C. Esther Dyson
    Esther Dyson is a prominent technology investor, journalist, and philanthropist known for her early involvement in the digital economy and advocacy on issues such as health, space, and technology policy.
  • D. 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.
  • E. Gail J. McGovern
    Gail J. McGovern is an American business executive and nonprofit leader best known for serving as president and CEO of the American Red Cross.
  • 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_69ca82de7b8c81908d8106f8a53cff9b completed March 30, 2026, 2:04 p.m.
NER Named-entity recognition batch_69cb78c935408190b9196a849a8d3a3e completed March 31, 2026, 7:33 a.m.
NED1 Entity disambiguation (via context triple) batch_69cd3540a0988190b8e48988279403db completed April 1, 2026, 3:09 p.m.
NEDg Description generation batch_69cd37a71af481909e82aa29ae558c4a completed April 1, 2026, 3:20 p.m.
NED2 Entity disambiguation (via description) batch_69cd4ef034ec8190a4229b21e6088c79 completed April 1, 2026, 4:59 p.m.
Created at: March 30, 2026, 5:48 p.m.