Triple
T10225481
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stealing Beauty |
E243192
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object | Carlo Cecchi |
E846446
|
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: Carlo Cecchi | Statement: [Stealing Beauty, stars, Carlo Cecchi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carlo Cecchi Context triple: [Stealing Beauty, stars, Carlo Cecchi]
-
A.
Carlo Cecchi
chosen
Carlo Cecchi is an Italian actor and theater director known for his work in both art-house and mainstream European cinema.
-
B.
Alfredo Ceschiatti
Alfredo Ceschiatti was a Brazilian sculptor renowned for his modernist public sculptures, particularly those integrated into the architectural ensemble of Brasília.
-
C.
Ermanno Cressoni
Ermanno Cressoni was an influential Italian automobile designer best known for shaping Alfa Romeo’s distinctive angular design language in the 1970s and 1980s.
-
D.
Paolo Seganti
Paolo Seganti is an Italian actor known for his work in film and television, including prominent roles in both European productions and American soap operas.
-
E.
Piero Piccioni
Piero Piccioni was an Italian film composer and jazz musician known for his prolific work scoring Italian and international cinema from the 1950s through the 1980s.
- 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_69d381b0f97c819085c9b45799a5fb7c |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d1f9cf6c81909a6b9e9b9d0a79fe |
completed | April 7, 2026, 9:44 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d71c8511008190a30008ed32a983d1 |
completed | April 9, 2026, 3:27 a.m. |
Created at: April 6, 2026, 11:17 a.m.