Triple

T5013349
Position Surface form Disambiguated ID Type / Status
Subject Maria Scicolone E112679 entity
Predicate relative P37 FINISHED
Object Sophia Loren E89915 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: Sophia Loren | Statement: [Maria Scicolone, relative, Sophia Loren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia Loren
Context triple: [Maria Scicolone, relative, Sophia Loren]
  • A. Sophia Loren chosen
    Sophia Loren is an iconic Italian film actress and international sex symbol renowned for her Academy Award–winning performances and enduring influence on cinema.
  • B. Claudia Cardinale
    Claudia Cardinale is an acclaimed Italian-Tunisian actress renowned for her roles in classic European films of the 1960s such as "8½," "The Leopard," and "Once Upon a Time in the West."
  • C. Gina Lollobrigida
    Gina Lollobrigida was an iconic Italian film actress and international sex symbol of the 1950s and 1960s who later became a photojournalist and sculptor.
  • D. Audrey Hepburn
    Audrey Hepburn was an iconic British actress and humanitarian, celebrated for her timeless style and roles in classic films such as "Breakfast at Tiffany's."
  • E. Ingrid Bergman
    Ingrid Bergman was an acclaimed Swedish actress and three-time Academy Award winner best known for her luminous performances in classic films such as "Casablanca" and "Notorious."
  • 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_69bd4434acb8819086679dbeccc2fe54 completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7310c5b08190a5c9ab0f9fe9569f completed March 20, 2026, 4:17 p.m.
NED1 Entity disambiguation (via context triple) batch_69bea473a1708190aaf4a021fec472c6 completed March 21, 2026, 2 p.m.
Created at: March 20, 2026, 1:35 p.m.