Triple
T13541029
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beaches (2017 film) |
E323385
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Denise Di Novi |
E152988
|
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: Denise Di Novi | Statement: [Beaches (2017 film), producer, Denise Di Novi]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Denise Di Novi Context triple: [Beaches (2017 film), producer, Denise Di Novi]
-
A.
Denise Di Novi
chosen
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.
-
B.
Denise Lombardo
Denise Lombardo is an American woman best known as the first wife of former stockbroker and convicted fraudster Jordan Belfort, whose life inspired the film "The Wolf of Wall Street."
-
C.
Deanna Piatelli
Deanna Piatelli is known as the spouse of Jack Dempsey.
-
D.
Barbara De Fina
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.
-
E.
Diane D'Aquila
Diane D'Aquila is a Canadian-American actress known for her extensive work in theatre, film, and television, particularly for her performances in Shakespearean roles and Canadian productions.
- 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_69d8076776248190bdf0d4fa1f85a5fc |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbafd8ba10819098faadcc6adf251e |
completed | April 12, 2026, 2:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7ce5ecad88190b7c8236969d9abc7 |
completed | May 3, 2026, 10:38 p.m. |
Created at: April 9, 2026, 9:45 p.m.