Triple

T13245966
Position Surface form Disambiguated ID Type / Status
Subject Eric Kennington E315403 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: [Eric Kennington, hasWorkInCollection, Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tate
Context triple: [Eric Kennington, 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. El Tate
    El Tate is a popular nickname for Club Atlético Unión, a traditional Argentine football club based in Santa Fe.
  • E. 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.
  • 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_69d806b1072881909e46bd212259c5f0 completed April 9, 2026, 8:06 p.m.
NER Named-entity recognition batch_69d98d5c09f88190bb1566a6d8c073a6 completed April 10, 2026, 11:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6ff3600388190a7f61370f54d5e63 completed May 3, 2026, 7:54 a.m.
Created at: April 9, 2026, 9:23 p.m.