Triple

T20674743
Position Surface form Disambiguated ID Type / Status
Subject Carla Juri E508129 entity
Predicate name P16 FINISHED
Object Carla Juri 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: Carla Juri | Statement: [Carla Juri, name, Carla Juri]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carla Juri
Context triple: [Carla Juri, name, Carla Juri]
  • A. Carla Juri chosen
    Carla Juri is a Swiss actress known for her roles in European cinema and major international films, including the science fiction sequel Blade Runner 2049.
  • B. Claudia Squitieri
    Claudia Squitieri is the daughter of renowned Italian actress Claudia Cardinale and Italian film director Pasquale Squitieri.
  • C. Lucia Migliaccio
    Lucia Migliaccio was an Italian noblewoman and duchess best known as the morganatic second wife of King Ferdinand I of the Two Sicilies.
  • D. Anna Finocchiaro
    Anna Finocchiaro is an Italian politician and long-serving parliamentarian who has held prominent roles in center-left parties and in the Italian government.
  • E. Lisa Brescia
    Lisa Brescia is an American stage actress and singer best known for her performances in major Broadway musicals such as "Wicked," "Mamma Mia!," and "Dear Evan Hansen."
  • 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_69e0b4c1164881909a3bf1e3ddb2bc32 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6b5cdbec48190a945261c41d810ce completed April 20, 2026, 11:25 p.m.
Created at: April 16, 2026, 11:44 a.m.