Triple
T14389343
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Olivetti |
E356800
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Olivetti Lettera 22 |
E356800
|
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: Olivetti Lettera 22 | Statement: [Olivetti, hasProduct, Olivetti Lettera 22]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivetti Lettera 22 Context triple: [Olivetti, hasProduct, Olivetti Lettera 22]
-
A.
Olivetti
chosen
Olivetti is an Italian technology company historically known for its typewriters, computers, and design-led office equipment.
-
B.
Minerva Urecal
Minerva Urecal was an American character actress known for her numerous supporting roles in film and television from the 1930s through the 1960s.
-
C.
Bembo
Bembo is a classic serif typeface, based on Renaissance humanist letterforms, widely used in book typography for its readability and elegance.
-
D.
Orio Litta
Orio Litta is a small municipality in the Lombardy region of northern Italy, known for its location along the historic Via Francigena pilgrimage route.
-
E.
Raimondi
Raimondi is an Italian surname borne by various notable figures in fields such as science, the arts, and public life.
- 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_69d827927c988190ad98bb0360981783 |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de9029ef048190bdda5ee41618e720 |
completed | April 14, 2026, 7:06 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd551623608190ba1de09b423cc5e1 |
completed | May 8, 2026, 3:14 a.m. |
Created at: April 10, 2026, 1:16 a.m.