Triple
T19689640
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | AC Monza |
E472800
|
entity |
| Predicate | nickname |
P55
|
FINISHED |
| Object |
Biancorossi
Biancorossi is the traditional nickname of Italian football club AC Monza, referring to the team’s white and red colors.
|
E1390013
|
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: Biancorossi | Statement: [AC Monza, nickname, Biancorossi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Biancorossi Context triple: [AC Monza, nickname, Biancorossi]
-
A.
Biancorossi
Biancorossi is the traditional nickname of Italian football club LR Vicenza, referring to the team’s white-and-red colors.
-
B.
Biancoscudati
Biancoscudati is the traditional nickname of Italian football club Calcio Padova, referring to their white shirts and historic identity.
-
C.
Tigri Bianche
Tigri Bianche was an Italian Air Force aerobatic display team that operated before and was eventually succeeded by the modern Frecce Tricolori squadron.
-
D.
Biancocelesti
Biancocelesti is the traditional nickname for Italian football club S.S. Lazio, referring to the team’s white and sky-blue colors.
-
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: Biancorossi Triple: [AC Monza, nickname, Biancorossi]
Generated description
Biancorossi is the traditional nickname of Italian football club AC Monza, referring to the team’s white and red colors.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Biancorossi Target entity description: Biancorossi is the traditional nickname of Italian football club AC Monza, referring to the team’s white and red colors.
-
A.
Biancorossi
Biancorossi is the traditional nickname of Italian football club LR Vicenza, referring to the team’s white-and-red colors.
-
B.
Biancoscudati
Biancoscudati is the traditional nickname of Italian football club Calcio Padova, referring to their white shirts and historic identity.
-
C.
Tigri Bianche
Tigri Bianche was an Italian Air Force aerobatic display team that operated before and was eventually succeeded by the modern Frecce Tricolori squadron.
-
D.
Biancocelesti
Biancocelesti is the traditional nickname for Italian football club S.S. Lazio, referring to the team’s white and sky-blue colors.
-
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_69d8e515bef88190bc30781aea50537a |
completed | April 10, 2026, 11:55 a.m. |
| NER | Named-entity recognition | batch_69e6420f1a0c8190ae59aa0ab3ff2802 |
completed | April 20, 2026, 3:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0787cce7248190bbec313b04d7a64e |
completed | May 15, 2026, 8:53 p.m. |
| NEDg | Description generation | batch_6a078a9e163481908db5749a53b13305 |
completed | May 15, 2026, 9:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a078b0c6ae88190a8a17a7c1381ae41 |
completed | May 15, 2026, 9:07 p.m. |
Created at: April 10, 2026, 1:45 p.m.