Triple

T11760331
Position Surface form Disambiguated ID Type / Status
Subject The Cavanaughs E279637 entity
Predicate hasCastMember P2308 FINISHED
Object Christine Ebersole E57139 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: Christine Ebersole | Statement: [The Cavanaughs, hasCastMember, Christine Ebersole]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christine Ebersole
Context triple: [The Cavanaughs, hasCastMember, Christine Ebersole]
  • A. Christine Ebersole chosen
    Christine Ebersole is a Tony Award–winning American actress and singer known for her work on Broadway, in film, and on television.
  • B. Katherine Helmond
    Katherine Helmond was an American actress best known for her comedic roles on television series such as "Soap" and "Who's the Boss?" and for her work in film and voice acting.
  • C. Dianne Wiest
    Dianne Wiest is an acclaimed American actress known for her versatile performances in film, television, and theater, including multiple award-winning supporting roles.
  • D. Ellen Holbrook
    Ellen Holbrook is a notable individual associated with the Holbrook name, recognized as a distinguished bearer of this surname.
  • E. Ann Dowd
    Ann Dowd is an American character actress known for her intense, often unsettling performances in film and television, including roles in projects like "The Handmaid's Tale" and numerous acclaimed dramas and thrillers.
  • 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_69d6ab01038c819080714901502c84fc completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8a52386708190b744746a2db37495 completed April 10, 2026, 7:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69f64b7cc0808190875d36fe978e4326 completed May 2, 2026, 7:07 p.m.
Created at: April 8, 2026, 9:41 p.m.