Triple
T18709032
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Call Me by Your Name |
E457449
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Vanda Capriolo
Vanda Capriolo is an actress known for appearing in the acclaimed romantic drama film "Call Me by Your Name."
|
E1340256
|
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: Vanda Capriolo | Statement: [Call Me by Your Name, castMember, Vanda Capriolo]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Vanda Capriolo Context triple: [Call Me by Your Name, castMember, Vanda Capriolo]
-
A.
Clelia Monti
Clelia Monti is best known as the wife of Italian industrialist and Lamborghini founder Ferruccio Lamborghini.
-
B.
Caterina Valente
Caterina Valente is an Italian-born multilingual singer, guitarist, dancer, and actress renowned for her international success in pop and jazz music from the 1950s onward.
-
C.
Lavinia Valbonesi
Lavinia Valbonesi is an Ecuadorian nutritionist, social media influencer, and First Lady of Ecuador as the wife of President Daniel Noboa.
-
D.
Rosa Vercellana
Rosa Vercellana was the morganatic wife of King Victor Emmanuel II of Italy, noted for her rise from commoner to countess and her controversial position at the Savoy court.
-
E.
Leonora Celi
Leonora Celi is known primarily as the daughter of Italian actor and director Adolfo Celi.
- 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: Vanda Capriolo Triple: [Call Me by Your Name, castMember, Vanda Capriolo]
Generated description
Vanda Capriolo is an actress known for appearing in the acclaimed romantic drama film "Call Me by Your Name."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Vanda Capriolo Target entity description: Vanda Capriolo is an actress known for appearing in the acclaimed romantic drama film "Call Me by Your Name."
-
A.
Clelia Monti
Clelia Monti is best known as the wife of Italian industrialist and Lamborghini founder Ferruccio Lamborghini.
-
B.
Caterina Valente
Caterina Valente is an Italian-born multilingual singer, guitarist, dancer, and actress renowned for her international success in pop and jazz music from the 1950s onward.
-
C.
Lavinia Valbonesi
Lavinia Valbonesi is an Ecuadorian nutritionist, social media influencer, and First Lady of Ecuador as the wife of President Daniel Noboa.
-
D.
Rosa Vercellana
Rosa Vercellana was the morganatic wife of King Victor Emmanuel II of Italy, noted for her rise from commoner to countess and her controversial position at the Savoy court.
-
E.
Leonora Celi
Leonora Celi is known primarily as the daughter of Italian actor and director Adolfo Celi.
- 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_69d8d392aad081909fe31aa03e6e97d1 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e56719383481909d68c9e873ca0800 |
completed | April 19, 2026, 11:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0532503674819092eb1b83bf3289bd |
completed | May 14, 2026, 2:24 a.m. |
| NEDg | Description generation | batch_6a0532de03488190abb9df6ea06f1150 |
completed | May 14, 2026, 2:26 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0533b186f48190be42122527d43b5b |
completed | May 14, 2026, 2:30 a.m. |
Created at: April 10, 2026, 11:50 a.m.