Triple
T4625974
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donnie Brasco |
E101097
|
entity |
| Predicate | cinematographyBy |
P1953
|
FINISHED |
| Object | Peter Sova |
E259291
|
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: Peter Sova | Statement: [Donnie Brasco, cinematographyBy, Peter Sova]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peter Sova Context triple: [Donnie Brasco, cinematographyBy, Peter Sova]
-
A.
Peter Sova
chosen
Peter Sova was a Czech-American cinematographer known for his stylish visual work on films such as "Lucky Number Slevin" and collaborations with directors like Barry Levinson.
-
B.
Philip LaZebnik
Philip LaZebnik is an American screenwriter and playwright best known for his work on animated feature films such as Disney’s "Mulan" and "Pocahontas" and DreamWorks’ "The Prince of Egypt."
-
C.
Mike Sokolsky
Mike Sokolsky is a co-founder of the online education platform Udacity, known for its technology-focused courses and nanodegree programs.
-
D.
Patrick Fischler
Patrick Fischler is an American character actor known for his memorable supporting roles in film and television, including appearances in projects like Mulholland Drive, Mad Men, and Lost.
-
E.
Alec Miloslavsky
Alec Miloslavsky is a technology entrepreneur best known as a co-founder of the customer experience and contact center software company Genesys.
- 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_69bd43d0497c8190ac23c65c5804846a |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd5a0a7b588190bc6552ee5babb198 |
completed | March 20, 2026, 2:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bdfaab30508190881828adab92ba22 |
completed | March 21, 2026, 1:55 a.m. |
Created at: March 20, 2026, 1:13 p.m.