Triple
T8065924
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Fabrizio Miccoli |
E188242
|
entity |
| Predicate | memberOfSportsTeam |
P330
|
FINISHED |
| Object |
U.S. Lecce
U.S. Lecce is an Italian professional football club based in Lecce, Apulia, known for competing in Serie A and Serie B and for its passionate local fanbase.
|
E709482
|
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: U.S. Lecce | Statement: [Fabrizio Miccoli, memberOfSportsTeam, U.S. Lecce]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: U.S. Lecce Context triple: [Fabrizio Miccoli, memberOfSportsTeam, U.S. Lecce]
-
A.
US Salernitana 1919
US Salernitana 1919 is an Italian professional football club based in Salerno that competes in Serie A.
-
B.
Count of Lecce
The Count of Lecce was a noble title in the Kingdom of Sicily associated with the powerful Hauteville dynasty and held by Tancred before he became king.
-
C.
Lusianesi
Lusianesi are the inhabitants or natives of Lusiana, a town in the Veneto region of northern Italy.
-
D.
Pisa SC
Pisa SC is an Italian professional football club based in Pisa, best known for its periods in Serie A and for having featured notable players and coaches such as Diego Simeone.
-
E.
Tusa
Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
- 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: U.S. Lecce Triple: [Fabrizio Miccoli, memberOfSportsTeam, U.S. Lecce]
Generated description
U.S. Lecce is an Italian professional football club based in Lecce, Apulia, known for competing in Serie A and Serie B and for its passionate local fanbase.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: U.S. Lecce Target entity description: U.S. Lecce is an Italian professional football club based in Lecce, Apulia, known for competing in Serie A and Serie B and for its passionate local fanbase.
-
A.
US Salernitana 1919
US Salernitana 1919 is an Italian professional football club based in Salerno that competes in Serie A.
-
B.
Count of Lecce
The Count of Lecce was a noble title in the Kingdom of Sicily associated with the powerful Hauteville dynasty and held by Tancred before he became king.
-
C.
Lusianesi
Lusianesi are the inhabitants or natives of Lusiana, a town in the Veneto region of northern Italy.
-
D.
Pisa SC
Pisa SC is an Italian professional football club based in Pisa, best known for its periods in Serie A and for having featured notable players and coaches such as Diego Simeone.
-
E.
Tusa
Tusa is a surname most notably associated with Sir John Tusa, a prominent British arts administrator and former broadcaster.
- 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_69ca82b42674819086840efea12478e5 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3ff5547c8190a7ec5958a23e302f |
completed | March 31, 2026, 3:31 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc63e1ed44819083ed9db6c9d7b0fd |
completed | April 1, 2026, 12:16 a.m. |
| NEDg | Description generation | batch_69cc651c5f788190908c6d84c58cba0f |
completed | April 1, 2026, 12:21 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cc6649d2348190996802140b455348 |
completed | April 1, 2026, 12:26 a.m. |
Created at: March 30, 2026, 5:26 p.m.