Triple

T3692117
Position Surface form Disambiguated ID Type / Status
Subject Nine (2009 film) E78365 entity
Predicate stars P1956 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: [Nine (2009 film), stars, Sophia Loren]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sophia Loren
Context triple: [Nine (2009 film), stars, 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_69ad85e285a081908f8cbfa9e2ed9b75 completed March 8, 2026, 2:21 p.m.
NER Named-entity recognition batch_69adc4e783a88190b2837a68b8723a25 completed March 8, 2026, 6:50 p.m.
NED1 Entity disambiguation (via context triple) batch_69b4c3cd64c4819098f9f93a8d2efdf7 completed March 14, 2026, 2:11 a.m.
Created at: March 8, 2026, 3:26 p.m.