Triple

T8452653
Position Surface form Disambiguated ID Type / Status
Subject Caroline Lucas E199838 entity
Predicate name P16 FINISHED
Object Caroline Lucas E199838 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: Caroline Lucas | Statement: [Caroline Lucas, name, Caroline Lucas]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Caroline Lucas
Context triple: [Caroline Lucas, name, Caroline Lucas]
  • A. Caroline Lucas chosen
    Caroline Lucas is a British Green Party politician who served as the party’s first and only Member of Parliament, representing Brighton Pavilion.
  • B. Alison McGovern
    Alison McGovern is a British Labour Party politician who has served as the Member of Parliament for Wirral South, focusing on issues such as employment rights and social justice.
  • C. Alison Ellwood
    Alison Ellwood is an American documentary film editor and director known for her work on acclaimed non-fiction films and series.
  • D. Diane Abbott
    Diane Abbott is a British Labour Party politician who became the first Black woman elected to the UK Parliament and is known for her long-standing role as MP for Hackney North and Stoke Newington.
  • E. Pippa Norris
    Pippa Norris is a prominent political scientist known for her influential research on democracy, public opinion, and political communications.
  • 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_69ca8318231881908fd1bc1c4d45d286 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe449decc8190bd62f077427f9634 completed March 31, 2026, 3:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce1dda289c81908e0cc8e1a504caa1 completed April 2, 2026, 7:42 a.m.
Created at: March 30, 2026, 6:09 p.m.