Triple

T8007877
Position Surface form Disambiguated ID Type / Status
Subject Rose in Harlem E186408 entity
Predicate hasSetting P3538 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: [Rose in Harlem, hasSetting, Harlem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlem
Context triple: [Rose in Harlem, hasSetting, 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. 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.
  • C. Harlem Valley
    Harlem Valley is a scenic river valley in southeastern New York known for its rural landscapes, small towns, and historic rail corridor.
  • D. East Harlem
    East Harlem is a neighborhood in Upper Manhattan, New York City, historically known for its large Puerto Rican and Latino communities and rich cultural and political activism.
  • E. Banksville, New York
    Banksville, New York is a small hamlet in Westchester County known for its semi-rural character and location near the Connecticut border.
  • 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_69ca82abaffc8190ab8af79cdbc31ab3 completed March 30, 2026, 2:03 p.m.
NER Named-entity recognition batch_69cb3d6e1c9081909018bcebb18906f6 completed March 31, 2026, 3:20 a.m.
NED1 Entity disambiguation (via context triple) batch_69cc63bf5efc8190aa5cdc6707adbf71 completed April 1, 2026, 12:15 a.m.
Created at: March 30, 2026, 5:18 p.m.