Triple
T9086692
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hellas Verona FC |
E217773
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Gialloblu
Gialloblu is the traditional nickname of Italian football club Hellas Verona FC, derived from the team's yellow and blue colors.
|
E775860
|
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: Gialloblu | Statement: [Hellas Verona FC, nickname, Gialloblu]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gialloblu Context triple: [Hellas Verona FC, nickname, Gialloblu]
-
A.
Biancoscudati
Biancoscudati is the traditional nickname of Italian football club Calcio Padova, referring to their white shirts and historic identity.
-
B.
Granata
Granata is the traditional nickname of Italian football club Torino F.C., derived from the club’s iconic maroon-colored kit.
-
C.
Biancazzurri
Biancazzurri is the traditional nickname of Italian football club Delfino Pescara 1936, referring to the team’s white-and-light-blue colors.
-
D.
The Sky Blues
The Sky Blues is the nickname of Ballymena United F.C., a Northern Irish football club known for its light blue home colours and participation in the NIFL Premiership.
-
E.
Al Bianchi
Al Bianchi was an American professional basketball coach and former NBA player best known for his coaching and front-office roles in the ABA and NBA.
- 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: Gialloblu Triple: [Hellas Verona FC, nickname, Gialloblu]
Generated description
Gialloblu is the traditional nickname of Italian football club Hellas Verona FC, derived from the team's yellow and blue colors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gialloblu Target entity description: Gialloblu is the traditional nickname of Italian football club Hellas Verona FC, derived from the team's yellow and blue colors.
-
A.
Biancoscudati
Biancoscudati is the traditional nickname of Italian football club Calcio Padova, referring to their white shirts and historic identity.
-
B.
Granata
Granata is the traditional nickname of Italian football club Torino F.C., derived from the club’s iconic maroon-colored kit.
-
C.
Biancazzurri
Biancazzurri is the traditional nickname of Italian football club Delfino Pescara 1936, referring to the team’s white-and-light-blue colors.
-
D.
The Sky Blues
The Sky Blues is the nickname of Ballymena United F.C., a Northern Irish football club known for its light blue home colours and participation in the NIFL Premiership.
-
E.
Al Bianchi
Al Bianchi was an American professional basketball coach and former NBA player best known for his coaching and front-office roles in the ABA and NBA.
- 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_69ca83d8ab5881909d8fddae363b32b1 |
completed | March 30, 2026, 2:08 p.m. |
| NER | Named-entity recognition | batch_69cc9654cb3c819089fa8c0ab0841c81 |
completed | April 1, 2026, 3:51 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cffe40823481909a5c4b82bd24293a |
completed | April 3, 2026, 5:52 p.m. |
| NEDg | Description generation | batch_69d000d5b24481908679dbb92372c4b9 |
completed | April 3, 2026, 6:03 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d001692c3481909924615717e316c2 |
completed | April 3, 2026, 6:05 p.m. |
Created at: March 30, 2026, 7:13 p.m.