Triple
T22185099
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | French Cancan |
E548272
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object | Giani Esposito |
—
|
NE NERFINISHED |
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: Giani Esposito | Statement: [French Cancan, castMember, Giani Esposito]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Giani Esposito Context triple: [French Cancan, castMember, Giani Esposito]
-
A.
Giani Esposito
chosen
Giani Esposito was a French actor and singer-songwriter known for his poetic chansons and roles in mid-20th-century French cinema.
-
B.
Giancarlo Giannini
Giancarlo Giannini is an acclaimed Italian actor and voice actor known for his intense performances in European cinema and international films, as well as for dubbing prominent Hollywood actors into Italian.
-
C.
Fabrizio Gifuni
Fabrizio Gifuni is an Italian actor known for his intense, character-driven performances in film, television, and theater.
-
D.
Gian Luca Gregori
Gian Luca Gregori is an Italian academic who serves as the rector of Marche Polytechnic University.
-
E.
Fabrizio Lucci
Fabrizio Lucci is an Italian cinematographer known for his work on contemporary Italian films and television, including collaborations with prominent directors.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69e11e3e0c7c8190b30d278845e2497e |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f12aa823888190829368de6db4aa91 |
completed | April 28, 2026, 9:46 p.m. |
Created at: April 16, 2026, 8:35 p.m.