Triple

T5660763
Position Surface form Disambiguated ID Type / Status
Subject Suffolk, Virginia E124732 entity
Predicate mayor P185 FINISHED
Object Michael D. Duman
Michael D. Duman is an American local politician who serves as the mayor of Suffolk, Virginia.
 E539711 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 D. Duman | Statement: [Suffolk, Virginia, mayor, Michael D. Duman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Michael D. Duman
Context triple: [Suffolk, Virginia, mayor, Michael D. Duman]
  • A. Daniel L. Fapp
    Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
  • B. Brian R. Seage
    Brian R. Seage is an American Episcopal bishop who serves as the ecclesiastical leader of the Episcopal Diocese of Mississippi.
  • C. John D. Porcari
    John D. Porcari is an American public official and transportation expert who served in senior leadership roles at the U.S. Department of Transportation and in state-level transportation agencies.
  • D. Daniel M. Ziegler
    Daniel M. Ziegler is a researcher known for co-authoring influential work in artificial intelligence and machine learning, including large language model research.
  • E. Michael A. Elliott
    Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
  • 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 D. Duman
Triple: [Suffolk, Virginia, mayor, Michael D. Duman]
Generated description
Michael D. Duman is an American local politician who serves as the mayor of Suffolk, Virginia.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Michael D. Duman
Target entity description: Michael D. Duman is an American local politician who serves as the mayor of Suffolk, Virginia.
  • A. Daniel L. Fapp
    Daniel L. Fapp was an American cinematographer known for his work on numerous Hollywood films, including the Oscar-winning West Side Story.
  • B. Brian R. Seage
    Brian R. Seage is an American Episcopal bishop who serves as the ecclesiastical leader of the Episcopal Diocese of Mississippi.
  • C. John D. Porcari
    John D. Porcari is an American public official and transportation expert who served in senior leadership roles at the U.S. Department of Transportation and in state-level transportation agencies.
  • D. Daniel M. Ziegler
    Daniel M. Ziegler is a researcher known for co-authoring influential work in artificial intelligence and machine learning, including large language model research.
  • E. Michael A. Elliott
    Michael A. Elliott is an American literary scholar and academic administrator who serves as the president of Amherst College.
  • 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_69c0082774a481909d7e63fb2aad56ac completed March 22, 2026, 3:17 p.m.
NER Named-entity recognition batch_69c0232077448190afdef460671eaf4f completed March 22, 2026, 5:13 p.m.
NED1 Entity disambiguation (via context triple) batch_69c05a286dac8190af53fe096cc29a6d completed March 22, 2026, 9:07 p.m.
NEDg Description generation batch_69c05cabceac819095c4a114220efb1a completed March 22, 2026, 9:18 p.m.
NED2 Entity disambiguation (via description) batch_69c05d2b67888190bc89e4cbd384c15f completed March 22, 2026, 9:20 p.m.
Created at: March 22, 2026, 3:42 p.m.