Triple
T13962695
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Antonio Tabucchi |
E335836
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Tabucchi |
E335836
|
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: Tabucchi | Statement: [Antonio Tabucchi, familyName, Tabucchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tabucchi Context triple: [Antonio Tabucchi, familyName, Tabucchi]
-
A.
Tabucchi
chosen
Tabucchi is the surname of Antonio Tabucchi, an Italian writer and academic known for his works inspired by Portuguese literature and the legacy of Fernando Pessoa.
-
B.
Savini
Savini is an Italian surname most famously associated with Tom Savini, a renowned special effects and makeup artist in horror cinema.
-
C.
Luchino
Luchino is an Italian given name most notably associated with the influential film director Luchino Visconti.
-
D.
Tucci
Tucci is the surname of Stanley Tucci, an acclaimed American actor, writer, director, and producer known for his versatile roles in film and television.
-
E.
Barbato
Barbato is an Italian surname associated with individuals of Italian heritage, including Nancy Barbato, the first wife of singer Frank Sinatra.
- 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_69d81c61f3508190aaf2ca0dc0002c59 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2e7c73d48190b8e02971b5a8ed5f |
completed | April 14, 2026, 12:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fba1d6b2e88190b4d2237413f509ee |
completed | May 6, 2026, 8:17 p.m. |
Created at: April 9, 2026, 10:18 p.m.