Triple

T3083544
Position Surface form Disambiguated ID Type / Status
Subject Elizabeth E64313 entity
Predicate starring P1507 FINISHED
Object Kathy Burke E49516 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: Kathy Burke | Statement: [Elizabeth, starring, Kathy Burke]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kathy Burke
Context triple: [Elizabeth, starring, Kathy Burke]
  • A. Kathy Burke chosen
    Kathy Burke is an English actress, comedian, writer, and director known for her acclaimed work in British film and television, including her BAFTA-winning performance in "Nil by Mouth."
  • B. Glenda Jackson
    Glenda Jackson was an acclaimed British actress and Labour Party politician, renowned for her Oscar-winning film roles and later service as a Member of Parliament.
  • C. Shirley Henderson
    Shirley Henderson is a Scottish actress known for her distinctive voice and roles in films such as the Bridget Jones series and the Harry Potter franchise.
  • D. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • E. Rita Tushingham
    Rita Tushingham is an English actress known for her distinctive, wide-eyed look and acclaimed performances in 1960s British cinema, including key roles in films of the British New Wave.
  • 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_69ad857bb4c88190a4cf27893fcabed8 completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ada1e877008190aacbd6f1357bdb9b completed March 8, 2026, 4:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69b2f3af69288190869eb648d15ad5e7 completed March 12, 2026, 5:11 p.m.
Created at: March 8, 2026, 3:03 p.m.