Triple

T2875594
Position Surface form Disambiguated ID Type / Status
Subject Virginia Commonwealth University E56869 entity
Predicate hasPresident P112 FINISHED
Object Michael Rao
Michael Rao is an American academic administrator who serves as the president of Virginia Commonwealth University.
 E305844 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: Michael Rao | Statement: [Virginia Commonwealth University, hasPresident, Michael Rao]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael Rao
Context triple: [Virginia Commonwealth University, hasPresident, Michael Rao]
  • A. Michael Reid
    Michael Reid is a personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • B. Robin Wilson
    Robin Wilson is the son of former British Prime Minister Harold Wilson and his wife Mary Wilson.
  • C. Michael Lehmann
    Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
  • D. David Smith
    David Smith is a Scottish football executive best known for serving as chairman of Ayr United F.C.
  • 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: Michael Rao
Triple: [Virginia Commonwealth University, hasPresident, Michael Rao]
Generated description
Michael Rao is an American academic administrator who serves as the president of Virginia Commonwealth University.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael Rao
Target entity description: Michael Rao is an American academic administrator who serves as the president of Virginia Commonwealth University.
  • A. Michael Reid
    Michael Reid is a personal name shared by multiple individuals across various professions, including sports, academia, and the arts.
  • B. Robin Wilson
    Robin Wilson is the son of former British Prime Minister Harold Wilson and his wife Mary Wilson.
  • C. Michael Lehmann
    Michael Lehmann is an American film and television director best known for the dark comedy "Heathers" and various other Hollywood comedies.
  • D. David Smith
    David Smith is a Scottish football executive best known for serving as chairman of Ayr United F.C.
  • 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_69ab4a4ced288190ab6d3e062d10f7f6 completed March 6, 2026, 9:42 p.m.
NER Named-entity recognition batch_69abe004a64481908f1897d9054a7368 completed March 7, 2026, 8:21 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01db780908190919d859205464b2e completed March 10, 2026, 1:33 p.m.
NEDg Description generation batch_69b0201470cc81909188573c3749dffb completed March 10, 2026, 1:43 p.m.
NED2 Entity disambiguation (via description) batch_69b020aa00888190a683a621f1e1a107 completed March 10, 2026, 1:46 p.m.
Created at: March 6, 2026, 10:03 p.m.