Triple
T11666393
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raf Vallone |
E277260
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Elena Varzi
Elena Varzi was an Italian film actress known for her roles in postwar Italian cinema, particularly in neorealist and melodramatic films.
|
E941513
|
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: Elena Varzi | Statement: [Raf Vallone, spouse, Elena Varzi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Elena Varzi Context triple: [Raf Vallone, spouse, Elena Varzi]
-
A.
Valentina Cervi
Valentina Cervi is an Italian actress known for her work in European cinema and international productions, including both film and television roles.
-
B.
Carla Voltolina
Carla Voltolina was an Italian journalist, psychologist, and former partisan who was married to President Sandro Pertini and known for her social and humanitarian engagement.
-
C.
Daniela Nardini
Daniela Nardini is a Scottish actress best known for her BAFTA-winning role as Anna Forbes in the BBC drama series "This Life."
-
D.
Valentina Moretti
Valentina Moretti is an individual notable enough to be recognized as a prominent bearer of the Italian surname Moretti.
-
E.
Liana Dognini
Liana Dognini is a screenwriter best known for co-writing the film adaptation of the novel "Morvern Callar."
- 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: Elena Varzi Triple: [Raf Vallone, spouse, Elena Varzi]
Generated description
Elena Varzi was an Italian film actress known for her roles in postwar Italian cinema, particularly in neorealist and melodramatic films.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Elena Varzi Target entity description: Elena Varzi was an Italian film actress known for her roles in postwar Italian cinema, particularly in neorealist and melodramatic films.
-
A.
Valentina Cervi
Valentina Cervi is an Italian actress known for her work in European cinema and international productions, including both film and television roles.
-
B.
Carla Voltolina
Carla Voltolina was an Italian journalist, psychologist, and former partisan who was married to President Sandro Pertini and known for her social and humanitarian engagement.
-
C.
Daniela Nardini
Daniela Nardini is a Scottish actress best known for her BAFTA-winning role as Anna Forbes in the BBC drama series "This Life."
-
D.
Valentina Moretti
Valentina Moretti is an individual notable enough to be recognized as a prominent bearer of the Italian surname Moretti.
-
E.
Liana Dognini
Liana Dognini is a screenwriter best known for co-writing the film adaptation of the novel "Morvern Callar."
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef82e252fc819082b5c8a33fcf861a |
completed | April 27, 2026, 3:38 p.m. |
| NEDg | Description generation | batch_69ef96ab29d48190b225504856007384 |
completed | April 27, 2026, 5:02 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69efd64bfa7081909715aa64d80fadf3 |
completed | April 27, 2026, 9:34 p.m. |
Created at: April 8, 2026, 9:39 p.m.