Triple
T20076610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Arctic (2018 film) |
E499882
|
entity |
| Predicate | distributor |
P1951
|
FINISHED |
| Object | Bleecker Street |
—
|
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: Bleecker Street | Statement: [Arctic (2018 film), distributor, Bleecker Street]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Bleecker Street Context triple: [Arctic (2018 film), distributor, Bleecker Street]
-
A.
Bleecker Street
chosen
Bleecker Street is an American independent film distribution company known for releasing critically acclaimed arthouse and specialty films.
-
B.
Bleecker Street
Bleecker Street is a historic and culturally vibrant street in Manhattan’s Greenwich Village, known for its nightlife, music venues, and eclectic mix of shops and restaurants.
-
C.
Bleecker Street
Bleecker Street is a New York City Subway station in Manhattan known for serving the Lexington Avenue Line and providing a key transfer point to the Broadway–Lafayette Street station.
-
D.
Bleecker
Bleecker is the middle name of Stephen B. Luce, a prominent U.S. Navy admiral and naval educator.
-
E.
Bowery
Bowery is a historic street and neighborhood in Lower Manhattan known for its evolution from a 19th-century entertainment and skid row district to a gentrified area with galleries, restaurants, and cultural institutions.
- 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_69da627770948190997f486f9a2e370f |
completed | April 11, 2026, 3:02 p.m. |
| NER | Named-entity recognition | batch_69e6643bcfd48190893abd3734f15cd3 |
completed | April 20, 2026, 5:37 p.m. |
Created at: April 11, 2026, 3:40 p.m.