Triple

T20744157
Position Surface form Disambiguated ID Type / Status
Subject Peter’s Friends E510525 entity
Predicate starring P1507 FINISHED
Object Phyllida Law 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: Phyllida Law | Statement: [Peter’s Friends, starring, Phyllida Law]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Phyllida Law
Context triple: [Peter’s Friends, starring, 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. Anna Chancellor
    Anna Chancellor is a British actress known for her work in film, television, and theatre, including notable roles in productions such as "Four Weddings and a Funeral" and various acclaimed TV dramas.
  • D. Angela Sidney
    Angela Sidney was a renowned Tagish storyteller and language preservationist from the Yukon who played a key role in documenting and revitalizing her people's oral traditions and culture.
  • E. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • 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_69e0b4c845e88190b4c5f3ae79291182 completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6c21197088190951a4c4a7e765891 completed April 21, 2026, 12:17 a.m.
Created at: April 16, 2026, 12:33 p.m.