Triple
T11666398
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Raf Vallone |
E277260
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | La Stampa |
E480222
|
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: La Stampa | Statement: [Raf Vallone, employer, La Stampa]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: La Stampa Context triple: [Raf Vallone, employer, La Stampa]
-
A.
La Stampa
chosen
La Stampa is one of Italy’s major daily newspapers, based in Turin and known for its national and international news coverage.
-
B.
Corriere della Sera
Corriere della Sera is one of Italy’s oldest and most influential daily newspapers, headquartered in Milan and known for its national and international news coverage.
-
C.
L'Unità
L'Unità was the historic daily newspaper founded by Antonio Gramsci that served for decades as the main press organ and voice of the Italian left.
-
D.
L’Express
L’Express is a major French weekly news magazine known for its political and intellectual commentary.
-
E.
La Gazzetta dello Sport
La Gazzetta dello Sport is a leading Italian daily sports newspaper, famous for its pink pages and extensive coverage of cycling and other major sports.
- 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_69d6aafd0a448190b44da30af8c6c519 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a43f438081909da476294a057c38 |
completed | April 10, 2026, 7:18 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ef13a2f1dc8190bb9ca8879ef42e14 |
completed | April 27, 2026, 7:43 a.m. |
Created at: April 8, 2026, 9:39 p.m.