Triple
T18523977
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jeff Wincott |
E452665
|
entity |
| Predicate | notableWork |
P4
|
FINISHED |
| Object | Street Law |
—
|
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: Street Law | Statement: [Jeff Wincott, notableWork, Street Law]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Street Law Context triple: [Jeff Wincott, notableWork, Street Law]
-
A.
Street Law
chosen
Street Law is a 1974 Italian crime-action film starring Franco Nero as a vigilante who takes justice into his own hands after becoming a victim of violent crime.
-
B.
Street Legal
Street Legal is a Canadian legal drama television series that follows the professional and personal lives of a group of Toronto-based lawyers.
-
C.
New Street Law
New Street Law is a British legal drama television series centered on the professional and personal lives of barristers in Manchester.
-
D.
Street Division
The Street Division is a specialized unit within the Justice Department focused on enforcing laws and handling legal matters related to public streets and urban public spaces.
-
E.
Road Rules
Road Rules is an MTV reality television series that follows young adults traveling together in an RV and completing missions and challenges across various locations.
- 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_69d8d387b5548190aa030dad2cb4947e |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e533908b0c81908725baf828aa46ff |
completed | April 19, 2026, 7:57 p.m. |
Created at: April 10, 2026, 11:37 a.m.