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.