Triple

T5806248
Position Surface form Disambiguated ID Type / Status
Subject Nino Brown E128750 entity
Predicate residence P75 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: [Nino Brown, residence, Harlem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlem
Context triple: [Nino Brown, residence, 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_69c00846a0d881909e46841f8e156b64 completed March 22, 2026, 3:18 p.m.
NER Named-entity recognition batch_69c02b15d8108190b434da42631c4e0c completed March 22, 2026, 5:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c097d7e0fc81909f051f8789ef9fb9 completed March 23, 2026, 1:31 a.m.
Created at: March 22, 2026, 3:52 p.m.