Triple

T13512628
Position Surface form Disambiguated ID Type / Status
Subject Mrs Hughes E322675 entity
Predicate hasCloseRelationshipWith P2830 FINISHED
Object Mr Carson E1024786 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: Mr Carson | Statement: [Mrs Hughes, hasCloseRelationshipWith, Mr Carson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Mr Carson
Context triple: [Mrs Hughes, hasCloseRelationshipWith, Mr Carson]
  • A. Mr Carson chosen
    Mr Carson is the dignified and traditional butler of Downton Abbey in the British television series of the same name.
  • B. Lord Carson
    Lord Carson was the title held by Edward Carson, a prominent Irish unionist leader, barrister, and politician who played a key role in opposing Irish Home Rule in the early 20th century.
  • C. Hunter Carson
    Hunter Carson is an American actor and screenwriter best known for his childhood role in the 1984 science fiction film "Paris, Texas."
  • D. Ken Carson
    Ken Carson is an American rapper and producer known for his work in the Atlanta-based Opium collective and his experimental, rage-influenced trap sound.
  • E. Jay Carson
    Jay Carson is an American political strategist, communications advisor, and screenwriter known for his work on television projects inspired by contemporary politics and media.
  • 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_69d80766a21881909f21a1b7421d3b8a completed April 9, 2026, 8:09 p.m.
NER Named-entity recognition batch_69dbaf87ca288190a147fbdb2f90985f completed April 12, 2026, 2:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69f75492676c81909602745e2b6436cb completed May 3, 2026, 1:58 p.m.
Created at: April 9, 2026, 9:44 p.m.