Triple
T4300269
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Pierfrancesco Favino |
E99816
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object |
Fortunata
Fortunata is an Italian drama film in which Pierfrancesco Favino delivers a prominent performance.
|
E428558
|
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: Fortunata | Statement: [Pierfrancesco Favino, notableWork, Fortunata]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Fortunata Context triple: [Pierfrancesco Favino, notableWork, Fortunata]
-
A.
Caterina
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
-
B.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
C.
Giuseppina
Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
-
D.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
-
E.
Leonora
Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
- 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: Fortunata Triple: [Pierfrancesco Favino, notableWork, Fortunata]
Generated description
Fortunata is an Italian drama film in which Pierfrancesco Favino delivers a prominent performance.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Fortunata Target entity description: Fortunata is an Italian drama film in which Pierfrancesco Favino delivers a prominent performance.
-
A.
Caterina
Caterina is an Italian given name, equivalent to Catherine, commonly used for women in Italian-speaking and related cultures.
-
B.
Rosabella
Rosabella is the shy, kind-hearted waitress who becomes the central romantic heroine in Frank Loesser’s Broadway musical "The Most Happy Fella."
-
C.
Giuseppina
Giuseppina is an Italian feminine given name, commonly considered the female form of Giuseppe (Joseph).
-
D.
Leonora
Leonora is a remote mining town in Western Australia’s Goldfields-Esperance region, historically significant for its goldfields and outback heritage.
-
E.
Leonora
Leonora is a feminine given name used in various cultures, often considered a variant of Eleanor or Leonore.
- 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_69b345528ebc8190b5abc7e95094792d |
completed | March 12, 2026, 10:59 p.m. |
| NER | Named-entity recognition | batch_69b3509e8cb481909ccca7992aac31a3 |
completed | March 12, 2026, 11:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5c74a1a7c8190a69a82a8a2a38db9 |
completed | March 14, 2026, 8:38 p.m. |
| NEDg | Description generation | batch_69b5c7d04508819087b14c5c86f1e015 |
completed | March 14, 2026, 8:40 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b5c84ccea08190a8e7e8fa93934ea2 |
completed | March 14, 2026, 8:42 p.m. |
Created at: March 12, 2026, 11:08 p.m.