Triple

T14400299
Position Surface form Disambiguated ID Type / Status
Subject The Michael J. Fox Show E357051 entity
Predicate starring P1507 FINISHED
Object Katie Finneran E1055456 NE FINISHED

How this triple was built (2 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: [The Michael J. Fox Show, starring, Katie Finneran]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Katie Finneran
Context triple: [The Michael J. Fox Show, starring, Katie Finneran]
  • A. Katie Finneran chosen
    Katie Finneran is an American actress best known for her Tony Award–winning performances on Broadway and her work in television comedies and dramas.
  • B. 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.
  • C. Siobhan Finneran
    Siobhan Finneran is an English actress known for her versatile roles in television dramas such as Downton Abbey, Happy Valley, and Benidorm.
  • D. 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.
  • E. Rebecca Gleeson
    Rebecca Gleeson is an Australian publicist best known as the wife of actor Eric Bana.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827927c988190ad98bb0360981783 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de908500048190bb6a20fe318d5c62 completed April 14, 2026, 7:07 p.m.
NED1 Entity disambiguation (via context triple) batch_69fde16198488190ad69eeebd09c45da completed May 8, 2026, 1:13 p.m.
Created at: April 10, 2026, 1:17 a.m.