Triple
T13797335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tears of the Sun |
E331550
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Monica Bellucci |
E250907
|
NE FINISHED |
How this triple was built (2 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: Monica Bellucci | Statement: [Tears of the Sun, starring, Monica Bellucci]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Monica Bellucci Context triple: [Tears of the Sun, starring, Monica Bellucci]
-
A.
Monica Bellucci
chosen
Monica Bellucci is an Italian actress and model known for her work in European cinema and major Hollywood films, including roles in The Matrix series, Malèna, and various James Bond and arthouse productions.
-
B.
Nicoletta Peyran
Nicoletta Peyran is a French former assistant director and academic best known as the longtime partner of American actor John Malkovich.
-
C.
Greta Favino
Greta Favino is the daughter of acclaimed Italian actor Pierfrancesco Favino.
-
D.
Paola Mori
Paola Mori was an Italian-born actress and countess best known as the third wife of filmmaker Orson Welles and for her roles in several of his later projects.
-
E.
Laetitia Casta
Laetitia Casta is a French supermodel and actress known for her work with major fashion houses and her roles in European cinema.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d81c58feb08190a77bca8bf7d6d20f |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de025be1f08190aac525d72d7dc0c3 |
completed | April 14, 2026, 9:01 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7b086d6d48190b823ed0a4403fbc5 |
completed | May 3, 2026, 8:31 p.m. |
Created at: April 9, 2026, 10:11 p.m.