Triple
T7235072
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Marianne Peretti |
E155201
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Peretti |
E622577
|
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: Peretti | Statement: [Marianne Peretti, familyName, Peretti]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peretti Context triple: [Marianne Peretti, familyName, Peretti]
-
A.
Peretti
chosen
Peretti is an Italian-origin surname borne by various notable individuals in fields such as entertainment, business, and the arts.
-
B.
Petrocelli
Petrocelli is an Italian surname most notably associated with former Boston Red Sox All-Star infielder Rico Petrocelli.
-
C.
Bertelli
Bertelli is an Italian surname most notably associated with Patrizio Bertelli, the longtime chief executive and co-owner of the luxury fashion house Prada.
-
D.
Oberto
Oberto is a young boy character in Handel’s opera "Alcina," known for his quest to find his missing father on the enchantress’s island.
-
E.
Gino
Gino is a masculine given name of Italian origin commonly used in Italy and among Italian communities worldwide.
- 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_69c688143bfc81908d4176617735e601 |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ea130e5c819087f74883760fe327 |
completed | March 27, 2026, 8:35 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c7cc2d96588190bcf150cbfe4d015c |
completed | March 28, 2026, 12:40 p.m. |
Created at: March 27, 2026, 2:55 p.m.