Triple

T10605028
Position Surface form Disambiguated ID Type / Status
Subject Roman Roy E275849 entity
Predicate hasRomanticRelationshipWith P9994 FINISHED
Object Gerri Kellman
Gerri Kellman is a high-ranking legal executive and trusted advisor within the Roy family’s media empire in the television series "Succession."
E902605 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: Gerri Kellman | Statement: [Roman Roy, hasRomanticRelationshipWith, Gerri Kellman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gerri Kellman
Context triple: [Roman Roy, hasRomanticRelationshipWith, Gerri Kellman]
  • A. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • B. Diane Siegler
    Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
  • C. Gail Katz
    Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
  • D. Arlene Litman
    Arlene Litman was the mother of American actress Lisa Bonet.
  • E. Lorraine Bergman
    Lorraine Bergman was the wife of American physicist and Nobel laureate Carl David Anderson.
  • 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: Gerri Kellman
Triple: [Roman Roy, hasRomanticRelationshipWith, Gerri Kellman]
Generated description
Gerri Kellman is a high-ranking legal executive and trusted advisor within the Roy family’s media empire in the television series "Succession."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gerri Kellman
Target entity description: Gerri Kellman is a high-ranking legal executive and trusted advisor within the Roy family’s media empire in the television series "Succession."
  • A. Jill Krementz
    Jill Krementz is an American photographer and author best known for her portraits of writers and her work in children's literature.
  • B. Diane Siegler
    Diane Siegler is a character in the satirical film "Citizen Ruth," which critiques the abortion debate in the United States.
  • C. Gail Katz
    Gail Katz is an American film and television producer known for working on major Hollywood projects including the disaster drama "The Perfect Storm."
  • D. Arlene Litman
    Arlene Litman was the mother of American actress Lisa Bonet.
  • E. Lorraine Bergman
    Lorraine Bergman was the wife of American physicist and Nobel laureate Carl David Anderson.
  • 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_69d6aaf948d88190806cc3a8c47a3fb2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d6df4a5df88190b993196ca7849a88 completed April 8, 2026, 11:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69e3c7b89a808190af9b2d4f37ad9012 completed April 18, 2026, 6:04 p.m.
NEDg Description generation batch_69e3cefc00148190a1850dc6e31523c3 completed April 18, 2026, 6:35 p.m.
NED2 Entity disambiguation (via description) batch_69e3d014a644819092c76aa02b573ca9 completed April 18, 2026, 6:40 p.m.
Created at: April 8, 2026, 7:32 p.m.