Triple
T5930970
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carlo Ancelotti |
E131935
|
entity |
| Predicate | managedClub |
P3239
|
FINISHED |
| Object | Reggiana |
E294481
|
NE FINISHED |
How this triple was built (2 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: Reggiana | Statement: [Carlo Ancelotti, managedClub, Reggiana]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Reggiana Context triple: [Carlo Ancelotti, managedClub, Reggiana]
-
A.
Reggiana
chosen
Reggiana is an Italian football club based in Reggio Emilia, historically known for competing in the country’s professional leagues.
-
B.
Empoli
Empoli is an Italian professional football club based in Empoli, Tuscany, known for competing in Serie A and developing talented players.
-
C.
Sassuolo
Sassuolo is an Italian town in the Emilia-Romagna region, known for its ceramics industry and football club U.S. Sassuolo Calcio.
-
D.
Carpi
Carpi is a town in the Emilia-Romagna region of northern Italy, known for its historic center and textile industry.
-
E.
Reggina
Reggina is an Italian professional football club from Reggio Calabria, known for its passionate fan base and history of competing in the country's top divisions.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69c0085b75e88190a632f9691f9da48b |
completed | March 22, 2026, 3:18 p.m. |
| NER | Named-entity recognition | batch_69c0389c734081908e8a35f43e0104f6 |
completed | March 22, 2026, 6:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c0c05eb4b8819097f203e1db94ae8f |
completed | March 23, 2026, 4:23 a.m. |
Created at: March 22, 2026, 4 p.m.