Triple

T23036340
Position Surface form Disambiguated ID Type / Status
Subject Dora de Houghton Carrington E573604 entity
Predicate familyName P18 FINISHED
Object Carrington 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: Carrington | Statement: [Dora de Houghton Carrington, familyName, Carrington]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Carrington
Context triple: [Dora de Houghton Carrington, familyName, Carrington]
  • A. Carrington chosen
    Carrington is a surname of English origin borne by various notable individuals across politics, the military, the arts, and other fields.
  • B. Carrington
    Carrington is a village in Greater Manchester, England, known for its industrial estates and proximity to the Manchester Ship Canal.
  • C. Carrington
    Carrington is a small village and civil parish in Midlothian, Scotland, known for its rural character and historic church.
  • D. Carrington
    Carrington is a biographical drama film about the life and relationships of English painter Dora Carrington.
  • E. Carson
    Carson is a given name most famously associated with American novelist Carson McCullers, known for her works exploring loneliness and the human condition.
  • 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_69e245b911188190bc3d96326c847969 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1850fe5348190b42259595d82cff4 completed April 29, 2026, 4:12 a.m.
Created at: April 17, 2026, 3:53 p.m.