Triple

T18046901
Position Surface form Disambiguated ID Type / Status
Subject Lucy Griffiths E431802 entity
Predicate hasRole P161 FINISHED
Object Marian NE NERFINISHED

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: Marian | Statement: [Lucy Griffiths, hasRole, Marian]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Marian
Context triple: [Lucy Griffiths, hasRole, Marian]
  • A. Marian chosen
    Marian is a given name of Latin origin commonly used in various European countries for both males and females.
  • B. Marian
    Marian is a small rural town and sugar-growing community in Queensland, Australia, located within the Mackay Region.
  • C. Marjory
    Marjory is a feminine given name, commonly considered a variant spelling of Marjorie.
  • D. Mary Dole
    Mary Dole is a person notable enough to be recognized as a bearer of the surname Dole, though specific widely known biographical details about her are not clearly established.
  • E. Mariann
    Mariann is the given name of Mariann Edgar Budde, an American Episcopal bishop known for her leadership in the Episcopal Diocese of Washington.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b906482481908183315b9ecf9994 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4bff2d3c48190875ffe9c042d3ec0 completed April 19, 2026, 11:43 a.m.
Created at: April 10, 2026, 10:25 a.m.