Triple

T21956337
Position Surface form Disambiguated ID Type / Status
Subject Leave No Trace E542196 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: [Leave No Trace, distributor, Bleecker Street]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bleecker Street
Context triple: [Leave No Trace, 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 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.
  • C. 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.
  • 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_69e0c47ef0e48190a50e1bcc43f4b3fd completed April 16, 2026, 11:14 a.m.
NER Named-entity recognition batch_69f124404f38819080bae736a52a51cd completed April 28, 2026, 9:18 p.m.
Created at: April 16, 2026, 7:59 p.m.