Triple

T12436205
Position Surface form Disambiguated ID Type / Status
Subject Harlem Désir E297149 entity
Predicate name P16 FINISHED
Object Harlem Désir E297149 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 Désir | Statement: [Harlem Désir, name, Harlem Désir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Harlem Désir
Context triple: [Harlem Désir, name, Harlem Désir]
  • A. Harlem Désir chosen
    Harlem Désir is a French politician and former Member of the European Parliament who has held prominent roles in the Socialist Party and later served as a diplomat focused on European and human rights issues.
  • B. Voletta
    Voletta is the first name of Voletta Wallace, best known as the mother of the late rapper The Notorious B.I.G.
  • C. Harlem
    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.
  • D. Harlem
    Harlem is an unincorporated community in Hendry County, Florida, known as a small, historically African American settlement near the city of Clewiston.
  • E. Fauntroy
    Fauntroy is the surname of Walter E. Fauntroy, an American civil rights activist, pastor, and former congressional delegate from Washington, D.C.
  • 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_69d6ada0640c81908c061d7fb3d47786 completed April 8, 2026, 7:33 p.m.
NER Named-entity recognition batch_69d94d8c8fd481909b35ac504127a1b6 completed April 10, 2026, 7:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f63f06d16481909ed2eb5195ebd7e4 completed May 2, 2026, 6:14 p.m.
Created at: April 8, 2026, 9:55 p.m.