Triple

T14430792
Position Surface form Disambiguated ID Type / Status
Subject Cecilia Pawley E357821 entity
Predicate spouseOf P13 FINISHED
Object Peter Townsend E270516 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: Peter Townsend | Statement: [Cecilia Pawley, spouseOf, Peter Townsend]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Peter Townsend
Context triple: [Cecilia Pawley, spouseOf, Peter Townsend]
  • A. Peter Townsend
    Peter Townsend was a British sociologist renowned for his pioneering research on poverty, inequality, and social policy.
  • B. Peter Townsend
    Peter Townsend is an author best known for writing the novel "The Girl in the White Ship."
  • C. Peter Wooldridge Townsend chosen
    Peter Wooldridge Townsend was a British Royal Air Force officer and World War II flying ace best known for his postwar role as equerry to King George VI and his romantic relationship with Princess Margaret.
  • D. Will Hutton
    Will Hutton is a British political economist, journalist, and author known for his influential commentary on economic policy and social democracy.
  • E. Paul Brickhill
    Paul Brickhill was an Australian author and former WWII fighter pilot best known for writing classic wartime narratives such as "The Dam Busters" and "The Great Escape."
  • 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_69d8279402a88190821ffa39ae15bccf completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de914570f08190b1c7c1c57a0cb476 completed April 14, 2026, 7:11 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd5bd3e6c48190b4fc3794202a0c3f completed May 8, 2026, 3:43 a.m.
Created at: April 10, 2026, 1:18 a.m.