Triple

T5317879
Position Surface form Disambiguated ID Type / Status
Subject Notes to My Mother-in-Law E121594 entity
Predicate featuresCharacter P626 FINISHED
Object Phyllida Law E21939 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: Phyllida Law | Statement: [Notes to My Mother-in-Law, featuresCharacter, Phyllida Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phyllida Law
Context triple: [Notes to My Mother-in-Law, featuresCharacter, Phyllida Law]
  • A. Phyllida Law chosen
    Phyllida Law is a Scottish actress known for her extensive work in film, television, and theatre, as well as for being part of a prominent acting family.
  • B. Isla Phillips
    Isla Phillips is a granddaughter of Princess Anne and the eldest great-grandchild of Queen Elizabeth II and Prince Philip.
  • C. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • D. Wendy Hiller
    Wendy Hiller was an acclaimed English stage and film actress known for her nuanced, often understated performances in classics such as "Pygmalion" and "Separate Tables."
  • E. Geraldine McEwan
    Geraldine McEwan was an acclaimed English actress known for her versatile stage and screen performances, including her celebrated portrayal of Agatha Christie's Miss Marple.
  • 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_69bd463d956c819088105c3db802c017 completed March 20, 2026, 1:06 p.m.
NER Named-entity recognition batch_69bd855269ac8190bb7a9248d04f1823 completed March 20, 2026, 5:35 p.m.
NED1 Entity disambiguation (via context triple) batch_69bfa1bee05c81909ec8b823ee1b6a01 completed March 22, 2026, 8:01 a.m.
Created at: March 20, 2026, 1:59 p.m.