Triple

T9102696
Position Surface form Disambiguated ID Type / Status
Subject Bridget Hennessy E218396 entity
Predicate portrayedBy P1507 FINISHED
Object Kaley Cuoco E193356 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: Kaley Cuoco | Statement: [Bridget Hennessy, portrayedBy, Kaley Cuoco]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kaley Cuoco
Context triple: [Bridget Hennessy, portrayedBy, Kaley Cuoco]
  • A. Kaley Cuoco chosen
    Kaley Cuoco is an American actress best known for her comedic television roles, particularly as Penny on the hit sitcom "The Big Bang Theory."
  • B. Zooey Deschanel
    Zooey Deschanel is an American actress, singer, and songwriter known for her quirky, offbeat roles in films like "500 Days of Summer" and the TV series "New Girl."
  • C. Lisa Kudrow
    Lisa Kudrow is an American actress, comedian, writer, and producer best known for playing Phoebe Buffay on the television sitcom "Friends."
  • D. Mila Kunis
    Mila Kunis is an American actress known for her roles in films like "Black Swan" and "Forgetting Sarah Marshall" and for voicing Meg Griffin on the animated series "Family Guy."
  • E. Alison Brie
    Alison Brie is an American actress known for her roles in television series like "Community" and "Mad Men," as well as her voice work in animated films.
  • 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_69ca83db7448819090d0a5de842ef2ac completed March 30, 2026, 2:08 p.m.
NER Named-entity recognition batch_69cc9715d5188190bce68d095e10c2eb completed April 1, 2026, 3:55 a.m.
NED1 Entity disambiguation (via context triple) batch_69d07758ce3c819088e78674a7da5a06 completed April 4, 2026, 2:28 a.m.
Created at: March 30, 2026, 7:15 p.m.