Triple

T12650426
Position Surface form Disambiguated ID Type / Status
Subject Benita Hume E302142 entity
Predicate name P16 FINISHED
Object Benita Hume E302142 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: Benita Hume | Statement: [Benita Hume, name, Benita Hume]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Benita Hume
Context triple: [Benita Hume, name, Benita Hume]
  • A. Benita Hume chosen
    Benita Hume was a British actress known for her work in 1930s Hollywood films and later for co-starring with her husband Ronald Colman on the radio and television series "The Halls of Ivy."
  • B. Helen Humes
    Helen Humes was an American jazz and blues singer known for her work with Count Basie’s orchestra and her versatile, swinging vocal style.
  • C. Rosemary Harris
    Rosemary Harris is a British actress acclaimed for her extensive stage and screen career, including a Tony Award win and an Academy Award nomination.
  • D. Anne Heywood
    Anne Heywood is a British actress known for her film and television roles from the 1950s through the 1970s, often portraying strong, complex female characters.
  • E. Richenda Gurney
    Richenda Gurney was a member of the prominent English Quaker Gurney family, known for their influence in banking, philanthropy, and social reform in the 18th and 19th centuries.
  • 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_69d7bdec9f9c8190b4bac675b7588211 completed April 9, 2026, 2:55 p.m.
NER Named-entity recognition batch_69d9615f28cc81908e37249d7ab5ed74 completed April 10, 2026, 8:45 p.m.
NED1 Entity disambiguation (via context triple) batch_69f6fef8d94081908ea5ac426e22ef87 completed May 3, 2026, 7:53 a.m.
Created at: April 9, 2026, 5:18 p.m.