Triple
T10470155
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jamón Jamón |
E246902
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Anna Galiena
Anna Galiena is an Italian actress known for her work in European cinema, particularly in acclaimed films of the 1980s and 1990s.
|
E864616
|
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: Anna Galiena | Statement: [Jamón Jamón, starring, Anna Galiena]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anna Galiena Context triple: [Jamón Jamón, starring, Anna Galiena]
-
A.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
B.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
-
C.
Alessandra
Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
-
D.
Giuliana
Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
-
E.
Galina
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
- 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: Anna Galiena Triple: [Jamón Jamón, starring, Anna Galiena]
Generated description
Anna Galiena is an Italian actress known for her work in European cinema, particularly in acclaimed films of the 1980s and 1990s.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anna Galiena Target entity description: Anna Galiena is an Italian actress known for her work in European cinema, particularly in acclaimed films of the 1980s and 1990s.
-
A.
Luciana
Luciana is a feminine given name of Latin origin, commonly used in Spanish- and Portuguese-speaking countries.
-
B.
Alessandra
Alessandra is an Italian politician, former actress, and granddaughter of Benito Mussolini.
-
C.
Alessandra
Alessandra is an Italian given name, the feminine form of Alessandro, equivalent to Alexandra in English.
-
D.
Giuliana
Giuliana is an Italian feminine given name, commonly considered the female form of Giuliano.
-
E.
Galina
Galina is a feminine given name of Slavic origin, commonly used in Russia and other Eastern European countries.
- 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_69d381c16c248190a2fe5b471e584e9c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5092fa6048190b26d481ddc3e3ec2 |
completed | April 7, 2026, 1:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d89ffdfd988190a37b3444d096e678 |
completed | April 10, 2026, 7 a.m. |
| NEDg | Description generation | batch_69d8a166404881909c28141fefea2936 |
completed | April 10, 2026, 7:06 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69d8a2c550ac81908444c6abfe14698a |
completed | April 10, 2026, 7:12 a.m. |
Created at: April 6, 2026, 12:20 p.m.