Triple
T6649695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Juventus Women |
E150788
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Le Bianconere
Le Bianconere is the traditional Italian nickname for Juventus Women, highlighting the team’s iconic black-and-white colors.
|
E609734
|
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: Le Bianconere | Statement: [Juventus Women, nickname, Le Bianconere]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Le Bianconere Context triple: [Juventus Women, nickname, Le Bianconere]
-
A.
Blancanieves
Blancanieves is a 2012 Spanish silent black-and-white fantasy drama film that reimagines the Snow White fairy tale in 1920s Spain.
-
B.
Fantasia
Fantasia is a groundbreaking 1940 animated musical film by Walt Disney that combines classical music with innovative animation in a series of imaginative segments.
-
C.
Luca
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
-
D.
Il Poverello
Il Poverello is an honorific nickname for Francis of Assisi that emphasizes his radical embrace of poverty and humility.
-
E.
Pinocchio
Pinocchio is a classic animated film and character from Disney’s early feature-length productions, telling the story of a wooden puppet who dreams of becoming a real boy.
- 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: Le Bianconere Triple: [Juventus Women, nickname, Le Bianconere]
Generated description
Le Bianconere is the traditional Italian nickname for Juventus Women, highlighting the team’s iconic black-and-white colors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Le Bianconere Target entity description: Le Bianconere is the traditional Italian nickname for Juventus Women, highlighting the team’s iconic black-and-white colors.
-
A.
Blancanieves
Blancanieves is a 2012 Spanish silent black-and-white fantasy drama film that reimagines the Snow White fairy tale in 1920s Spain.
-
B.
Fantasia
Fantasia is a groundbreaking 1940 animated musical film by Walt Disney that combines classical music with innovative animation in a series of imaginative segments.
-
C.
Luca
Luca is a 2021 Pixar animated film set on the Italian Riviera that follows a young sea monster experiencing a transformative summer on land.
-
D.
Il Poverello
Il Poverello is an honorific nickname for Francis of Assisi that emphasizes his radical embrace of poverty and humility.
-
E.
Pinocchio
Pinocchio is a classic animated film and character from Disney’s early feature-length productions, telling the story of a wooden puppet who dreams of becoming a real boy.
- 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_69c687f2c9508190a60b9aad31d3f358 |
completed | March 27, 2026, 1:36 p.m. |
| NER | Named-entity recognition | batch_69c6b04408508190a87a669b32364368 |
completed | March 27, 2026, 4:28 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6eef91eb08190a00ae027c21b08bf |
completed | March 27, 2026, 8:56 p.m. |
| NEDg | Description generation | batch_69c6f1ed97248190ab2253b3b2457f4f |
completed | March 27, 2026, 9:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6f2c18c0081908958b7ffeed7a787 |
completed | March 27, 2026, 9:12 p.m. |
Created at: March 27, 2026, 2:01 p.m.