Triple
T23442484
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Pesto |
E565439
|
entity |
| Predicate | hasLastName |
P18
|
FINISHED |
| Object | Pesto |
—
|
NE NERFINISHED |
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: Pesto | Statement: [Jimmy Pesto, hasLastName, Pesto]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pesto Context triple: [Jimmy Pesto, hasLastName, Pesto]
-
A.
Pesto
chosen
Pesto is a traditional Italian sauce made primarily from basil, pine nuts, garlic, Parmesan cheese, and olive oil, commonly served with pasta.
-
B.
Caprese
Caprese is a small Tuscan village in Italy best known as the birthplace of the Renaissance artist Michelangelo.
-
C.
Schnozzola
Schnozzola is the famous nickname of American entertainer Jimmy Durante, referencing his distinctive large nose and comedic persona.
-
D.
Carbonara
Carbonara is a classic Italian pasta dish typically made with eggs, hard cheese, cured pork, and black pepper.
-
E.
Pici
Pici is a suborder of birds that primarily includes woodpeckers and their close relatives, characterized by strong bills and specialized climbing adaptations.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64654e88190b530958b27b32412 |
completed | April 29, 2026, 6:33 a.m. |
Created at: April 17, 2026, 5:51 p.m.