Triple
T17177593
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sofia Villani Scicolone |
E416900
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object | Scicolone |
E416900
|
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: Scicolone | Statement: [Sofia Villani Scicolone, familyName, Scicolone]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Scicolone Context triple: [Sofia Villani Scicolone, familyName, Scicolone]
-
A.
Scicolone
chosen
Scicolone is the birth surname of Italian actress Sophia Loren, reflecting her family name before she adopted her famous stage name.
-
B.
Soulis
Soulis is a surname of Scottish origin historically associated with the noble de Soulis family.
-
C.
Seresin
Seresin is a surname most notably associated with New Zealand cinematographer and film director Michael Seresin.
-
D.
Pisatis
Pisatis was an ancient district of Elis in the Peloponnese, Greece, encompassing the area around Olympia and closely associated with the Olympic Games.
-
E.
Nicolosi
Nicolosi is a Sicilian town known as a main gateway and base for excursions to Mount Etna.
- 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_69d886d5f34c8190b24564dfaa63f3fb |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3fc0ee5008190a73875b39841fd9f |
completed | April 18, 2026, 9:47 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a015fca04cc8190a9df230078fbe268 |
completed | May 11, 2026, 4:49 a.m. |
Created at: April 10, 2026, 5:37 a.m.