Triple
T20610073
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Black Sails |
E506424
|
entity |
| Predicate | creator |
P184
|
FINISHED |
| Object | Robert Levine |
—
|
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: Robert Levine | Statement: [Black Sails, creator, Robert Levine]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Robert Levine Context triple: [Black Sails, creator, Robert Levine]
-
A.
Robert Levine
chosen
Robert Levine is a writer and producer known for his work in American television, including co-creating and writing for several drama series.
-
B.
Robert Levine
Robert Levine is an American cardiologist best known as the husband of actress Mary Tyler Moore.
-
C.
Sam Levine
Sam Levine is an American animation director and storyboard artist known for co-directing the superhero comedy film "DC League of Super-Pets."
-
D.
Gregory Bernstein
Gregory Bernstein is a film and television screenwriter known for his work on projects such as the political thriller "Official Secrets."
-
E.
Jonathan A. Levine
Jonathan A. Levine is an American film director and screenwriter known for movies such as "50/50," "Warm Bodies," and "The Wackness."
- 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_69e0b4bb2b4081908fa4a72444120f35 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e6aad6f53481908fb242947dda7028 |
completed | April 20, 2026, 10:38 p.m. |
Created at: April 16, 2026, 11:41 a.m.