Triple
T7726634
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Malèna (score) |
E175146
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Malèna (franchise) |
E612019
|
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: Malèna (franchise) | Statement: [Malèna (score), partOf, Malèna (franchise)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Malèna (franchise) Context triple: [Malèna (score), partOf, Malèna (franchise)]
-
A.
Malèna
chosen
Malèna is a 2000 Italian coming-of-age drama film directed by Giuseppe Tornatore, known for its poignant portrayal of a beautiful war widow observed through the eyes of a young boy in World War II Sicily.
-
B.
Livaneli
Livaneli is the surname of Zülfü Livaneli, a prominent Turkish musician, novelist, and political figure.
-
C.
Mala
Mala is a coastal town in Peru’s Lima Region known for its agricultural production and beaches along the Pacific Ocean.
-
D.
Maléter
Maléter is the surname of Pál Maléter, a Hungarian military officer and key figure in the 1956 Hungarian Revolution.
-
E.
Serliana
Serliana is a classical architectural window motif featuring a large central arched opening flanked by two shorter rectangular openings, widely associated with Renaissance and Palladian design.
- 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_69c6995d541c81909eaa646b1a8369a9 |
completed | March 27, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69c70314abb88190a7eaa519bd7398c9 |
completed | March 27, 2026, 10:22 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c8b5275164819096678c019fdd4da4 |
completed | March 29, 2026, 5:14 a.m. |
Created at: March 27, 2026, 4:06 p.m.