Triple
T13700823
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La cena di Natale |
E328511
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Laura Chiatti
Laura Chiatti is an Italian actress and former model known for her roles in contemporary Italian cinema and television.
|
E1076273
|
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: Laura Chiatti | Statement: [La cena di Natale, hasCastMember, Laura Chiatti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Laura Chiatti Context triple: [La cena di Natale, hasCastMember, Laura Chiatti]
-
A.
Lisa Loiacono
Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
-
B.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
-
C.
Laura Barbieri
Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
-
D.
Alicia Cazzaniga
Alicia Cazzaniga is an Argentine architect best known for co-designing the iconic modernist building of the National Library of Argentina in Buenos Aires.
-
E.
Claudia Squitieri
Claudia Squitieri is the daughter of renowned Italian actress Claudia Cardinale and Italian film director Pasquale Squitieri.
- 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: Laura Chiatti Triple: [La cena di Natale, hasCastMember, Laura Chiatti]
Generated description
Laura Chiatti is an Italian actress and former model known for her roles in contemporary Italian cinema and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Laura Chiatti Target entity description: Laura Chiatti is an Italian actress and former model known for her roles in contemporary Italian cinema and television.
-
A.
Lisa Loiacono
Lisa Loiacono is a real estate agent best known as the wife of actor Christopher Lloyd.
-
B.
Lisa Vultaggio
Lisa Vultaggio is a Canadian actress best known for her role as Hannah Scott on the soap opera "General Hospital."
-
C.
Laura Barbieri
Laura Barbieri is known as the wife of Argentine jazz saxophonist and composer Gato Barbieri.
-
D.
Alicia Cazzaniga
Alicia Cazzaniga is an Argentine architect best known for co-designing the iconic modernist building of the National Library of Argentina in Buenos Aires.
-
E.
Claudia Squitieri
Claudia Squitieri is the daughter of renowned Italian actress Claudia Cardinale and Italian film director Pasquale Squitieri.
- 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_69d8076ff62081908a7bd79889edd7a0 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbc879adc88190b03f1cf815b71061 |
completed | April 12, 2026, 4:29 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbc315ff848190a6c8cbd5b90db7fc |
completed | May 6, 2026, 10:39 p.m. |
| NEDg | Description generation | batch_69fc43c344c08190b5afa023f5009cb4 |
completed | May 7, 2026, 7:48 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fc444630408190b368611373265973 |
completed | May 7, 2026, 7:50 a.m. |
Created at: April 9, 2026, 9:54 p.m.