Triple

T9029229
Position Surface form Disambiguated ID Type / Status
Subject Bernard Ebbers E216126 entity
Predicate familyName P18 FINISHED
Object Ebbers
Ebbers is the surname of Bernard Ebbers, the former CEO of WorldCom who became widely known for his role in one of the largest accounting fraud scandals in U.S. history.
 E773501 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: Ebbers | Statement: [Bernard Ebbers, familyName, Ebbers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Ebbers
Context triple: [Bernard Ebbers, familyName, Ebbers]
  • A. Siebert
    Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
  • B. Eberstein
    Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
  • C. Erdman
    Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
  • D. Jerold
    Jerold is the full given first name of American college basketball coach Jay Wright.
  • E. Daboll
    Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
  • 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: Ebbers
Triple: [Bernard Ebbers, familyName, Ebbers]
Generated description
Ebbers is the surname of Bernard Ebbers, the former CEO of WorldCom who became widely known for his role in one of the largest accounting fraud scandals in U.S. history.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Ebbers
Target entity description: Ebbers is the surname of Bernard Ebbers, the former CEO of WorldCom who became widely known for his role in one of the largest accounting fraud scandals in U.S. history.
  • A. Siebert
    Siebert is a surname most notably associated with Sonny Siebert, an American Major League Baseball pitcher active in the 1960s and 1970s.
  • B. Eberstein
    Eberstein is a German surname most notably associated with August Eberstein, a co-founder of the Montblanc pen company.
  • C. Erdman
    Erdman is a masculine given name most notably borne by Disney story artist and screenwriter Erdman Penner.
  • D. Jerold
    Jerold is the full given first name of American college basketball coach Jay Wright.
  • E. Daboll
    Daboll is a surname most prominently associated with Brian Daboll, a professional American football coach in the National Football League.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9bcb508190b58751f1772407d4 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc289648190834031537c8ce130 completed April 3, 2026, 3:24 p.m.
NEDg Description generation batch_69cfde57a18c8190b4b8c8d2f521bd2c completed April 3, 2026, 3:35 p.m.
NED2 Entity disambiguation (via description) batch_69cfdec619d081909fd6b268f4ce06b9 completed April 3, 2026, 3:37 p.m.
Created at: March 30, 2026, 7:08 p.m.