Triple
T2993827
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmelo |
E81018
|
entity |
| Predicate | hasVariant |
P455
|
FINISHED |
| Object | Carmelo (Italian) |
E81018
|
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: Carmelo (Italian) | Statement: [Carmelo, hasVariant, Carmelo (Italian)]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carmelo (Italian) Context triple: [Carmelo, hasVariant, Carmelo (Italian)]
-
A.
Belmonte Calabro
Belmonte Calabro is a historic hilltop town in the Calabria region of southern Italy, overlooking the Tyrrhenian Sea.
-
B.
Mornello
Mornello is a locality or frazione within the municipality of Cernobbio in the Province of Como, Lombardy, northern Italy.
-
C.
Bruschi
Bruschi is the surname of Tedy Bruschi, a former NFL linebacker best known for his career with the New England Patriots.
-
D.
Carmelo
chosen
Carmelo is a masculine given name most prominently associated with former NBA star Carmelo Anthony.
-
E.
Cagli
Cagli is a historic town in Italy’s Marche region, known for its medieval architecture and scenic setting in the Apennine foothills.
- 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_69ad8b187fc8819085914d3c9ea3142d |
completed | March 8, 2026, 2:43 p.m. |
| NER | Named-entity recognition | batch_69ad99e291e0819089f81c0a7d7a6cd9 |
completed | March 8, 2026, 3:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b109061684819086777d3b871c94f8 |
completed | March 11, 2026, 6:17 a.m. |
Created at: March 8, 2026, 2:59 p.m.