Triple

T14191093
Position Surface form Disambiguated ID Type / Status
Subject Paid in Full (film) E351714 entity
Predicate settingLocation P40 FINISHED
Object Harlem E72644 NE FINISHED

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: [Paid in Full (film), settingLocation, Harlem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlem
Context triple: [Paid in Full (film), settingLocation, 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. 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.
  • D. 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.
  • E. Harlem Valley
    Harlem Valley is a scenic river valley in southeastern New York known for its rural landscapes, small towns, and historic rail corridor.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69d827894ac0819097803e57f3227b23 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de61df628c8190ba3f557e2128dce5 completed April 14, 2026, 3:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd1946eb68819096adf3c16a39818d completed May 7, 2026, 10:59 p.m.
Created at: April 10, 2026, 1:04 a.m.