Triple

T15243032
Position Surface form Disambiguated ID Type / Status
Subject Harlem Tommy Murphy E364306 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: [Harlem Tommy Murphy, residence, Harlem]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Harlem
Context triple: [Harlem Tommy Murphy, 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. 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_69d85a0dde7481908fc64d1e82d5d20d completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e007dcc33081908545ea1a1d2c19fe completed April 15, 2026, 9:49 p.m.
NED1 Entity disambiguation (via context triple) batch_69fee5f184d481909eb4294ee3648226 completed May 9, 2026, 7:44 a.m.
Created at: April 10, 2026, 3:13 a.m.