Triple

T23192656
Position Surface form Disambiguated ID Type / Status
Subject Sunday Bloody Sunday E579787 entity
Predicate castMember P1668 FINISHED
Object Glenda Jackson 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: Glenda Jackson | Statement: [Sunday Bloody Sunday, castMember, Glenda Jackson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Glenda Jackson
Context triple: [Sunday Bloody Sunday, castMember, Glenda Jackson]
  • A. Glenda Jackson chosen
    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.
  • B. Kathy Burke
    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."
  • C. Lesley Garrett
    Lesley Garrett is an English soprano and media personality known for her operatic performances and popular classical crossover work.
  • D. Maggie Smith
    Maggie Smith is a renowned English actress celebrated for her versatile performances across film, television, and stage, including iconic roles in "Downton Abbey" and the "Harry Potter" series.
  • E. Maggie Smith
    Maggie Smith is an American poet and writer known for her emotionally resonant, accessible verse, including the widely celebrated poem "Good Bones."
  • 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_69e24600eed08190bd7e5295653a1503 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f18fd86640819092308751d23c6642 completed April 29, 2026, 4:58 a.m.
Created at: April 17, 2026, 4:06 p.m.