Triple
T22472992
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Giuseppe Amato |
E555553
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Amato |
—
|
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: Amato | Statement: [Giuseppe Amato, familyName, Amato]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Amato Context triple: [Giuseppe Amato, familyName, Amato]
-
A.
Amato
chosen
Amato is an Italian surname borne by various notable figures in politics, arts, and sports.
-
B.
Almanzo
Almanzo is a central figure in Laura Ingalls Wilder’s "Little House" series, known as Laura’s husband and the inspiration for the book "Farmer Boy."
-
C.
Matarazzo
Matarazzo is the surname of American actor Gaten Matarazzo, best known for his role as Dustin Henderson on the Netflix series "Stranger Things."
-
D.
Tortorella
Tortorella is the surname of John Tortorella, a prominent National Hockey League coach known for his fiery personality and defensive coaching style.
-
E.
Pozzarello
Pozzarello is a coastal locality and seaside area within the municipality of Monte Argentario in Tuscany, Italy, known for its beach and tourist facilities.
- 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_69e11e52c2048190952dc5df209b9bed |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15be2034c81909d1263f2ed114b46 |
completed | April 29, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:49 p.m.