Triple
T16956232
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | György |
E411309
|
entity |
| Predicate | relatedName |
P3889
|
FINISHED |
| Object | Giorgio |
E111900
|
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: Giorgio | Statement: [György, relatedName, Giorgio]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giorgio Context triple: [György, relatedName, Giorgio]
-
A.
Giorgio
chosen
Giorgio is a given name, primarily the Italian form of George, used as a masculine first name.
-
B.
Maurizio
Maurizio is an Italian given name, equivalent to Maurice, commonly used in Italy and among Italian-speaking communities.
-
C.
Giuseppe
Giuseppe is an Italian masculine given name, equivalent to Joseph in English and widely used across Italy and among Italian communities worldwide.
-
D.
Enrico
Enrico is the given name of Enrico Fermi, the renowned Italian-American physicist who helped develop the first nuclear reactor and made foundational contributions to quantum theory and nuclear physics.
-
E.
Gaetano
Gaetano is an Italian given name, historically notable as the birth name of Saint Cajetan, a prominent 16th-century Catholic priest and reformer.
- 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_69d886c9c9d481909afe222093641cae |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d01c7b408190b5a2b6c62b050b76 |
completed | April 18, 2026, 6:40 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00dc06e6b481908d8032f5772762c9 |
completed | May 10, 2026, 7:27 p.m. |
Created at: April 10, 2026, 5:31 a.m.