Triple
T9839333
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Casino |
E239181
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Barbara De Fina |
E461960
|
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: Barbara De Fina | Statement: [Casino, producer, Barbara De Fina]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara De Fina Context triple: [Casino, producer, Barbara De Fina]
-
A.
Barbara De Fina
chosen
Barbara De Fina is an American film producer best known for her frequent collaborations with director Martin Scorsese on acclaimed films throughout the 1980s and 1990s.
-
B.
Barbara Granato
Barbara Granato is known as the wife of American ice hockey coach Don Granato.
-
C.
Barbara Zampini
Barbara Zampini, better known as Barbara Ramone, is a musician and bassist recognized for her association with Dee Dee Ramone and her role in preserving and performing the Ramones’ musical legacy.
-
D.
Barbara Bonansea
Barbara Bonansea is an Italian professional footballer and forward renowned for her key role with Juventus Women and the Italy women's national team.
-
E.
Denise Di Novi
Denise Di Novi is an American film producer known for her work on numerous popular films, including several Tim Burton projects and acclaimed literary adaptations.
- 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_69ca84e3f0c48190ada72a65ebd50efd |
completed | March 30, 2026, 2:12 p.m. |
| NER | Named-entity recognition | batch_69cdb34b045481908f89abd576aab497 |
completed | April 2, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d1ead061388190abbed7eb29e8ea52 |
completed | April 5, 2026, 4:53 a.m. |
Created at: March 30, 2026, 8:33 p.m.