Triple

T2697002
Position Surface form Disambiguated ID Type / Status
Subject Ellen Terry as Lady Macbeth E58534 entity
Predicate collection P426 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: [Ellen Terry as Lady Macbeth, collection, Tate]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tate
Context triple: [Ellen Terry as Lady Macbeth, collection, 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. 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.
  • C. Artis Mills
    Artis Mills is best known as the longtime husband of legendary American singer Etta James.
  • D. Turner
    Turner is a common English surname borne by numerous notable individuals across politics, arts, sports, and entertainment.
  • E. Dore
    The Dore is a river in central France that flows through the Massif Central before joining the Allier.
  • 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_69ab4ac269e481909cb317d79e68b75b completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abda3112108190a5e49c13368cf83f completed March 7, 2026, 7:56 a.m.
NED1 Entity disambiguation (via context triple) batch_69afbbba22348190a3f70439a6b21e1c completed March 10, 2026, 6:35 a.m.
Created at: March 6, 2026, 9:55 p.m.