Triple
T7027263
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Parmigianino |
E163179
|
entity |
| Predicate | alsoKnownAs |
P39
|
FINISHED |
| Object | Parmigiano |
E162263
|
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: Parmigiano | Statement: [Parmigianino, alsoKnownAs, Parmigiano]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parmigiano Context triple: [Parmigianino, alsoKnownAs, Parmigiano]
-
A.
Parmigiano Reggiano
chosen
Parmigiano Reggiano is a hard, aged Italian cheese from specific regions of Italy, renowned worldwide for its rich, nutty flavor and granular texture.
-
B.
Grana Padano
Grana Padano is a hard, slow-ripened Italian cheese from the Po River Valley, known for its granular texture and savory, nutty flavor.
-
C.
Pecorino Romano
Pecorino Romano is a hard, salty Italian sheep’s milk cheese traditionally produced in the regions of Lazio and Sardinia, widely used for grating over pasta and in Roman cuisine.
-
D.
Pecorino Toscano cheese
Pecorino Toscano cheese is a firm, sheep’s milk cheese from central Italy known for its smooth texture and mildly nutty, buttery flavor.
-
E.
Reggiano
Reggiano is a variety of the Emilian-Romagnol language spoken primarily in and around the city of Reggio Emilia in northern Italy.
- 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_69c6885d691c81908cf7d31083113886 |
completed | March 27, 2026, 1:38 p.m. |
| NER | Named-entity recognition | batch_69c6e1fee32081908eff988b18daa6d0 |
completed | March 27, 2026, 8:01 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c78857d23c8190904a90459a802cb8 |
completed | March 28, 2026, 7:50 a.m. |
Created at: March 27, 2026, 2:35 p.m.