Triple

T4482892
Position Surface form Disambiguated ID Type / Status
Subject Wangechi Mutu E100172 entity
Predicate hasWorkInCollection P2011 FINISHED
Object Tate E86288 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: Tate | Statement: [Wangechi Mutu, hasWorkInCollection, Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tate
Context triple: [Wangechi Mutu, hasWorkInCollection, Tate]
  • A. Tate chosen
    Tate is a UK-based art institution and network of galleries that houses and promotes the national collection of British art and significant international modern and contemporary works.
  • B. Tibbetts
    Tibbetts is a surname of English origin borne by various notable individuals across fields such as politics, sports, and the arts.
  • C. Tucker
    Tucker is a surname most notably associated with Albert W. Tucker, a Canadian-American mathematician and game theorist known for his contributions to topology and the formalization of the prisoner's dilemma.
  • D. Artis Mills
    Artis Mills is best known as the longtime husband of legendary American singer Etta James.
  • E. Turner
    Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
  • 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_69b34553cbe48190afa8ac1cac285b86 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b356fd35088190be79efc6c7317e2a completed March 13, 2026, 12:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6378930c48190ae589a895e5b7bc6 completed March 15, 2026, 4:37 a.m.
Created at: March 12, 2026, 11:36 p.m.