Triple

T22372452
Position Surface form Disambiguated ID Type / Status
Subject James Mtume E553075 entity
Predicate familyName P18 FINISHED
Object Forman NE NERFINISHED

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: Forman | Statement: [James Mtume, familyName, Forman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forman
Context triple: [James Mtume, familyName, Forman]
  • A. Forman chosen
    Forman is a surname of English origin borne by various notable individuals across fields such as politics, arts, and academia.
  • B. Formon
    Formon is an alternative spelling of the surname Forman, which is associated with various individuals and families of English-speaking origin.
  • C. Fauset
    Fauset is a surname most notably associated with Jessie Redmon Fauset, an influential African American editor, poet, and novelist of the Harlem Renaissance.
  • D. Ferden
    Ferden is a small alpine municipality in the canton of Valais in southwestern Switzerland, known for its mountainous scenery and traditional Swiss village character.
  • E. Farr
    Farr is a surname of English and Scottish origin borne by various notable individuals, including musicians, actors, and public figures.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69e11e4c03248190a26a5060ea6973ee completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15804f1b08190b57689e6afb615a0 completed April 29, 2026, 12:59 a.m.
Created at: April 16, 2026, 8:44 p.m.