Triple

T17961687
Position Surface form Disambiguated ID Type / Status
Subject Dr. Kananga E449097 entity
Predicate setting P1957 FINISHED
Object Harlem 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: Harlem | Statement: [Dr. Kananga, setting, Harlem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlem
Context triple: [Dr. Kananga, setting, Harlem]
  • A. Harlem chosen
    Harlem is a historic neighborhood in Upper Manhattan, New York City, renowned as a major African-American cultural and artistic center, especially noted for the Harlem Renaissance.
  • B. Harlem
    Harlem is an unincorporated community in Hendry County, Florida, known as a small, historically African American settlement near the city of Clewiston.
  • C. Central Harlem
    Central Harlem is a historically significant neighborhood in Upper Manhattan, New York City, long recognized as a major center of African-American culture, politics, and arts.
  • D. South Harlem
    South Harlem is a rapidly gentrifying section of Harlem in Manhattan known for its diverse community, historic brownstones, and growing restaurant and nightlife scene.
  • E. West Harlem
    West Harlem is a neighborhood in the northern part of Manhattan in New York City, known for its rich African-American cultural history and diverse residential communities.
  • 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_69d8b9f8cca8819099836916c56b7c95 completed April 10, 2026, 8:51 a.m.
NER Named-entity recognition batch_69e4b132cc10819088526a0b4b098d69 completed April 19, 2026, 10:40 a.m.
Created at: April 10, 2026, 10:22 a.m.