Triple
T7387388
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Federico Faggin |
E170414
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | Olivetti |
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 | Statement: [Federico Faggin, employer, Olivetti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Olivetti Context triple: [Federico Faggin, employer, Olivetti]
-
A.
Olivetti
chosen
Olivetti is an Italian technology company historically known for its typewriters, computers, and design-led office equipment.
-
B.
Raimondi
Raimondi is an Italian surname borne by various notable figures in fields such as science, the arts, and public life.
-
C.
Xerox
Xerox is an American corporation best known for pioneering photocopiers and influential computing innovations, including early graphical user interfaces and office software.
-
D.
Remington Rand
Remington Rand was a major American business machines and early computer manufacturer, best known for producing the UNIVAC, one of the first commercial computers.
-
E.
Kartell
Kartell is an Italian design company renowned for its innovative, often colorful furniture and home accessories made primarily from plastic, created in collaboration with prominent designers.
- 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_69c68a5e2c9081909e713ce866e0060a |
completed | March 27, 2026, 1:47 p.m. |
| NER | Named-entity recognition | batch_69c6f1f2bac481908ac74069182a4ce4 |
completed | March 27, 2026, 9:09 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c802e56fb48190976612d2a94d6ee5 |
completed | March 28, 2026, 4:33 p.m. |
Created at: March 27, 2026, 3:08 p.m.