Triple

T17099639
Position Surface form Disambiguated ID Type / Status
Subject Blair Cramer E414943 entity
Predicate portrayedBy P1507 FINISHED
Object Kassie DePaiva
Kassie DePaiva is an American actress and singer best known for her long-running role on the soap opera "One Life to Live."
E1308762 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: Kassie DePaiva | Statement: [Blair Cramer, portrayedBy, Kassie DePaiva]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kassie DePaiva
Context triple: [Blair Cramer, portrayedBy, Kassie DePaiva]
  • A. Joanna Kerns
    Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
  • B. Candice Accola
    Candice Accola is an American actress and singer best known for her role as Caroline Forbes on the television series "The Vampire Diaries."
  • C. Nicole Kassell
    Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
  • D. Melissa Sue Anderson
    Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
  • E. Calista Flockhart
    Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
  • 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: Kassie DePaiva
Triple: [Blair Cramer, portrayedBy, Kassie DePaiva]
Generated description
Kassie DePaiva is an American actress and singer best known for her long-running role on the soap opera "One Life to Live."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Kassie DePaiva
Target entity description: Kassie DePaiva is an American actress and singer best known for her long-running role on the soap opera "One Life to Live."
  • A. Joanna Kerns
    Joanna Kerns is an American actress best known for playing the mother, Maggie Seaver, on the 1980s television sitcom "Growing Pains."
  • B. Candice Accola
    Candice Accola is an American actress and singer best known for her role as Caroline Forbes on the television series "The Vampire Diaries."
  • C. Nicole Kassell
    Nicole Kassell is an American film and television director and producer known for her work on acclaimed series such as Watchmen and The Leftovers.
  • D. Melissa Sue Anderson
    Melissa Sue Anderson is an American actress best known for her role as Mary Ingalls on the television series "Little House on the Prairie."
  • E. Calista Flockhart
    Calista Flockhart is an American actress best known for her title role as a quirky lawyer in the television series "Ally McBeal."
  • 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_69d886cfc8e88190b05ba466edd35591 completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e3dc00880481909cc0dbc169663a41 completed April 18, 2026, 7:31 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03852d4f988190aa778537ab9e3b9e completed May 12, 2026, 7:53 p.m.
NEDg Description generation batch_6a038a9d02d48190b337f6f611fc6840 completed May 12, 2026, 8:16 p.m.
NED2 Entity disambiguation (via description) batch_6a038b2720548190baaafbc022f36163 completed May 12, 2026, 8:18 p.m.
Created at: April 10, 2026, 5:35 a.m.