Triple

T17586219
Position Surface form Disambiguated ID Type / Status
Subject Conversation Piece E428327 entity
Predicate mainCastMember P5563 FINISHED
Object Stefania Sandrelli NE NERFINISHED

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: Stefania Sandrelli | Statement: [Conversation Piece, mainCastMember, Stefania Sandrelli]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Stefania Sandrelli
Context triple: [Conversation Piece, mainCastMember, Stefania Sandrelli]
  • A. Stefania Sandrelli chosen
    Stefania Sandrelli is an acclaimed Italian actress known for her work in European cinema since the 1960s, including prominent roles in both art-house and popular films.
  • B. Claudia Raimondi
    Claudia Raimondi is an individual notable enough to be recognized as a prominent bearer of the Raimondi surname.
  • C. Daniela Farinacci
    Daniela Farinacci is an Australian actress known for her work in film, television, and theatre, including a notable role in the acclaimed drama "Lantana."
  • D. Eleonora Vallone
    Eleonora Vallone is an Italian actress and former model known for her film and television work in the late 20th century.
  • E. Daniela Bianchi
    Daniela Bianchi is an Italian actress and former model best known for playing Bond girl Tatiana Romanova in the James Bond film "From Russia with Love" (1963).
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e1030481909950e140c63255b9 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e463d22f908190ae0f1eeafbe54459 completed April 19, 2026, 5:10 a.m.
Created at: April 10, 2026, 5:50 a.m.