Triple

T14888897
Position Surface form Disambiguated ID Type / Status
Subject Gordon Hodgkin E359699 entity
Predicate collectionContainsWork 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: [Gordon Hodgkin, collectionContainsWork, Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tate
Context triple: [Gordon Hodgkin, collectionContainsWork, Tate]
  • A. Tate
    Tate is a given name most commonly associated with the American actor and director Tate Donovan.
  • B. Tate
    Tate is a surname most famously associated with American actress and 1960s cultural icon Sharon Tate, whose tragic death made it widely known.
  • C. 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.
  • 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_69d827980cbc8190a0c569ae3940a1d9 completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69ded5f6cf5c8190b6b28f58fafe5d59 completed April 15, 2026, 12:04 a.m.
NED1 Entity disambiguation (via context triple) batch_69fe6b5f22c08190a9530cbd78cfc801 completed May 8, 2026, 11:01 p.m.
Created at: April 10, 2026, 2:09 a.m.