Triple

T11357682
Position Surface form Disambiguated ID Type / Status
Subject Burisma Holdings E269002 entity
Predicate hasBoardMember P8802 FINISHED
Object Cofer Black
Cofer Black is a former CIA official and counterterrorism expert who later became a private security executive and corporate board member.
E920931 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: Cofer Black | Statement: [Burisma Holdings, hasBoardMember, Cofer Black]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Cofer Black
Context triple: [Burisma Holdings, hasBoardMember, Cofer Black]
  • A. Martin Black
    Martin Black is a member of the Black family, a fictional pure-blood wizarding family in the Harry Potter universe.
  • B. Vilos Cohaagen
    Vilos Cohaagen is the ruthless and power-hungry corporate governor of Mars who serves as the main antagonist in the science fiction film "Total Recall."
  • C. Felonius
    Felonius is the full first name of Gru, the main supervillain-turned-hero character in the Despicable Me animated film series.
  • D. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • E. Degory Priest
    Degory Priest was an English Pilgrim and early settler of Plymouth Colony who traveled on the Mayflower and participated in the founding governance of the colony.
  • 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: Cofer Black
Triple: [Burisma Holdings, hasBoardMember, Cofer Black]
Generated description
Cofer Black is a former CIA official and counterterrorism expert who later became a private security executive and corporate board member.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Cofer Black
Target entity description: Cofer Black is a former CIA official and counterterrorism expert who later became a private security executive and corporate board member.
  • A. Martin Black
    Martin Black is a member of the Black family, a fictional pure-blood wizarding family in the Harry Potter universe.
  • B. Vilos Cohaagen
    Vilos Cohaagen is the ruthless and power-hungry corporate governor of Mars who serves as the main antagonist in the science fiction film "Total Recall."
  • C. Felonius
    Felonius is the full first name of Gru, the main supervillain-turned-hero character in the Despicable Me animated film series.
  • D. Shriever
    Shriever is a surname, a variant spelling of "Shriver," borne by various individuals of English-speaking origin.
  • E. Degory Priest
    Degory Priest was an English Pilgrim and early settler of Plymouth Colony who traveled on the Mayflower and participated in the founding governance of the colony.
  • 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_69d6aacbe18081909e5fadb50082dd96 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7ea419afc8190b3a93141d015ebdf completed April 9, 2026, 6:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69e543b3cbd88190bb479ac88f8ca710 completed April 19, 2026, 9:05 p.m.
NEDg Description generation batch_69e548bc97b08190a87371a1e1e6f9c5 completed April 19, 2026, 9:27 p.m.
NED2 Entity disambiguation (via description) batch_69e54efda820819092d6a94fa4fd21f0 completed April 19, 2026, 9:54 p.m.
Created at: April 8, 2026, 9:33 p.m.