Triple

T11991614
Position Surface form Disambiguated ID Type / Status
Subject Tony Oursler E285418 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: [Tony Oursler, hasWorkInCollection, Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tate
Context triple: [Tony Oursler, 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. Tate
    Tate is a given name most commonly associated with the American actor and director Tate Donovan.
  • C. Tate
    Tate is a surname most famously associated with American actress and 1960s cultural icon Sharon Tate, whose tragic death made it widely known.
  • D. Tate Liverpool
    Tate Liverpool is a major modern and contemporary art gallery located on Liverpool’s historic Albert Dock and part of the UK-wide Tate network.
  • E. Bridgeman
    Bridgeman is an English surname historically associated with British nobility and aristocratic families.
  • 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_69d6ab44a77c8190a652f4b27164e4ef completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d903b11ac481909866b611380792e7 completed April 10, 2026, 2:05 p.m.
NED1 Entity disambiguation (via context triple) batch_69f47257911481909d6bd72535eefdbd completed May 1, 2026, 9:28 a.m.
Created at: April 8, 2026, 9:46 p.m.