Triple

T19549825
Position Surface form Disambiguated ID Type / Status
Subject Miss Forbes E489166 entity
Predicate name P16 FINISHED
Object Miss Forbes 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: Miss Forbes | Statement: [Miss Forbes, name, Miss Forbes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Miss Forbes
Context triple: [Miss Forbes, name, Miss Forbes]
  • A. Miss Forbes chosen
    Miss Forbes is the protagonist of the novel "Miss Forbes’s Summer of Happiness," around whom the story’s events and emotional journey revolve.
  • B. Mary Forbes
    Mary Forbes was a Scottish noblewoman of the Forbes family best known as the mother of George Gordon, 1st Earl of Aberdeen.
  • C. Mary Forbes
    Mary Forbes was a British-born character actress known for her numerous supporting roles in American films during the early to mid-20th century.
  • D. Anna Forbes
    Anna Forbes is the central character of the British television drama "This Life," around whose personal and professional experiences much of the series revolves.
  • E. Meriel Forbes
    Meriel Forbes was a British actress known for her stage and film work and for her long marriage to renowned actor Ralph Richardson.
  • 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_69d8e8dc5d8c8190a6d7bd8864f43ca0 completed April 10, 2026, 12:11 p.m.
NER Named-entity recognition batch_69e63d2f39188190976e8b6b111499a0 completed April 20, 2026, 2:50 p.m.
Created at: April 10, 2026, 1:41 p.m.