Triple

T13486656
Position Surface form Disambiguated ID Type / Status
Subject Brockmire E318520 entity
Predicate castMember P1668 FINISHED
Object Katie Finneran
Katie Finneran is an American actress best known for her Tony Award–winning performances on Broadway and her work in television comedies and dramas.
E1055456 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: Katie Finneran | Statement: [Brockmire, castMember, Katie Finneran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Finneran
Context triple: [Brockmire, castMember, Katie Finneran]
  • A. Frances O'Connor
    Frances O'Connor is an English-Australian actress known for her work in film and television, including prominent roles in dramas and period pieces.
  • B. Siobhan Finneran
    Siobhan Finneran is an English actress known for her versatile roles in television dramas such as Downton Abbey, Happy Valley, and Benidorm.
  • C. Alafair Burke
    Alafair Burke is an American crime novelist, law professor, and former prosecutor known for her contemporary suspense novels and collaborations on bestselling mystery series.
  • D. Rebecca Gleeson
    Rebecca Gleeson is an Australian publicist best known as the wife of actor Eric Bana.
  • E. Eliza Scanlen
    Eliza Scanlen is an Australian actress known for her roles in film and television, including prominent performances in projects like "Sharp Objects" and "Little Women."
  • 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: Katie Finneran
Triple: [Brockmire, castMember, Katie Finneran]
Generated description
Katie Finneran is an American actress best known for her Tony Award–winning performances on Broadway and her work in television comedies and dramas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Katie Finneran
Target entity description: Katie Finneran is an American actress best known for her Tony Award–winning performances on Broadway and her work in television comedies and dramas.
  • A. Frances O'Connor
    Frances O'Connor is an English-Australian actress known for her work in film and television, including prominent roles in dramas and period pieces.
  • B. Siobhan Finneran
    Siobhan Finneran is an English actress known for her versatile roles in television dramas such as Downton Abbey, Happy Valley, and Benidorm.
  • C. Alafair Burke
    Alafair Burke is an American crime novelist, law professor, and former prosecutor known for her contemporary suspense novels and collaborations on bestselling mystery series.
  • D. Rebecca Gleeson
    Rebecca Gleeson is an Australian publicist best known as the wife of actor Eric Bana.
  • E. Eliza Scanlen
    Eliza Scanlen is an Australian actress known for her roles in film and television, including prominent performances in projects like "Sharp Objects" and "Little Women."
  • 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_69d806b6bfec819089222715b2e86c8e completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69dbaf3b9b488190bb4e11424ff599c8 completed April 12, 2026, 2:42 p.m.
NED1 Entity disambiguation (via context triple) batch_69f7942424bc8190af98462f6b7a93a4 completed May 3, 2026, 6:29 p.m.
NEDg Description generation batch_69f79523bf608190addeca563bea132e completed May 3, 2026, 6:34 p.m.
NED2 Entity disambiguation (via description) batch_69f7965cc9f88190acbf232615a9e87b completed May 3, 2026, 6:39 p.m.
Created at: April 9, 2026, 9:42 p.m.