Triple

T17595443
Position Surface form Disambiguated ID Type / Status
Subject La sconosciuta E428556 entity
Predicate mainCharacter P1183 FINISHED
Object Irena
Irena is the mysterious and troubled protagonist of the Italian psychological thriller film "La sconosciuta."
E1278136 NE FINISHED

How this triple was built (4 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: Irena | Statement: [La sconosciuta, mainCharacter, Irena]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irena
Context triple: [La sconosciuta, mainCharacter, Irena]
  • A. Irena Dubrovna
    Irena Dubrovna is the troubled, feline-obsessed Serbian woman whose fear of transforming into a panther drives the psychological horror at the center of the 1942 film "Cat People."
  • B. Irene
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • C. Irene
    Irene is a small, historically significant village and suburb located just outside Pretoria in South Africa, known for its tranquil, tree-lined streets and dairy farm heritage.
  • D. Zhanna
    Zhanna is a feminine given name commonly used in Russian and other Slavic cultures, equivalent to Jeanne or Joanna.
  • E. Antonina
    Antonina was a prominent Byzantine noblewoman and influential wife of the famed general Belisarius, noted for her political acumen and close association with Empress Theodora in the 6th century.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Irena
Triple: [La sconosciuta, mainCharacter, Irena]
Generated description
Irena is the mysterious and troubled protagonist of the Italian psychological thriller film "La sconosciuta."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Irena
Target entity description: Irena is the mysterious and troubled protagonist of the Italian psychological thriller film "La sconosciuta."
  • A. Irena Dubrovna
    Irena Dubrovna is the troubled, feline-obsessed Serbian woman whose fear of transforming into a panther drives the psychological horror at the center of the 1942 film "Cat People."
  • B. Irene
    Irene is a feminine given name of Greek origin meaning "peace," borne by numerous historical, religious, and contemporary figures worldwide.
  • C. Irene
    Irene is a small, historically significant village and suburb located just outside Pretoria in South Africa, known for its tranquil, tree-lined streets and dairy farm heritage.
  • D. Zhanna
    Zhanna is a feminine given name commonly used in Russian and other Slavic cultures, equivalent to Jeanne or Joanna.
  • E. Antonina
    Antonina is one of the three central women whose intertwined personal and professional lives are followed over several decades in the Soviet drama film "Moscow Does Not Believe in Tears."
  • F. None of above. chosen

Provenance (5 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_69e469ead59c8190a06519311891af3c completed April 19, 2026, 5:36 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01e817f7248190b7166fbd28393b00 completed May 11, 2026, 2:30 p.m.
NEDg Description generation batch_6a01f002f630819088bc0b7506ceb4d7 completed May 11, 2026, 3:04 p.m.
NED2 Entity disambiguation (via description) batch_6a01f0ebf9e4819091d1b59964c6a275 completed May 11, 2026, 3:08 p.m.
Created at: April 10, 2026, 5:51 a.m.