Triple

T20754559
Position Surface form Disambiguated ID Type / Status
Subject David Munroe E510812 entity
Predicate spouse P13 FINISHED
Object N’Dare 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: N’Dare | Statement: [David Munroe, spouse, N’Dare]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: N’Dare
Context triple: [David Munroe, spouse, N’Dare]
  • A. N’Dare chosen
    N’Dare is a fictional character known primarily as the mother of DC Comics superhero Black Lightning (Jefferson Pierce).
  • B. Kenzi
    Kenzi is a Nubian language spoken in southern Egypt, closely related to Nobiin and part of the broader Nubian language family along the Nile.
  • C. Wamba
    Wamba is a town and administrative local government area in Nasarawa State, central Nigeria, known for its diverse ethnic communities and agricultural activities.
  • D. Wamba
    Wamba was a 7th-century king of the Visigoths in Hispania, known for his military campaigns and efforts to strengthen royal authority.
  • E. Wamba
    Wamba is a town located in the northeastern part of the Democratic Republic of the Congo.
  • 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_69e0b4c909ec8190b05987f1639513f6 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c22e0d288190ba924423af59d70d completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:34 p.m.