Triple

T11572346
Position Surface form Disambiguated ID Type / Status
Subject The Lady E274419 entity
Predicate portrayedBy P1507 FINISHED
Object Sharon Stone E115995 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: Sharon Stone | Statement: [The Lady, portrayedBy, Sharon Stone]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sharon Stone
Context triple: [The Lady, portrayedBy, Sharon Stone]
  • A. Sharon Stone chosen
    Sharon Stone is an American actress and former fashion model best known for her roles in films such as "Basic Instinct" and "Casino," for which she won a Golden Globe and received an Academy Award nomination.
  • B. Michelle Pfeiffer
    Michelle Pfeiffer is an acclaimed American actress known for her versatile performances in films such as "Scarface," "The Fabulous Baker Boys," and "Batman Returns."
  • C. Claudia Rose Pfeiffer
    Claudia Rose Pfeiffer is the adopted daughter of acclaimed American actress Michelle Pfeiffer.
  • D. Linda Fiorentino
    Linda Fiorentino is an American actress known for her sharp, sultry screen presence in films such as "The Last Seduction" and "Men in Black."
  • E. Annabella Sciorra
    Annabella Sciorra is an American actress known for her work in film and television, including acclaimed roles in movies like "Jungle Fever" and the TV series "The Sopranos."
  • 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_69d6aae5ac3c81908d2b0a3a665665b2 completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d88dd6913881908becf188c0a7a275 completed April 10, 2026, 5:42 a.m.
NED1 Entity disambiguation (via context triple) batch_69e6e8eface48190a2ed3275191b01ea completed April 21, 2026, 3:03 a.m.
Created at: April 8, 2026, 9:38 p.m.