Triple

T7693349
Position Surface form Disambiguated ID Type / Status
Subject Small Wars Permitting E174304 entity
Predicate author P4 FINISHED
Object Christina Lamb E32324 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: Christina Lamb | Statement: [Small Wars Permitting, author, Christina Lamb]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Christina Lamb
Context triple: [Small Wars Permitting, author, Christina Lamb]
  • A. Christina Lamb chosen
    Christina Lamb is a British journalist and author best known for co-writing Malala Yousafzai’s memoir "I Am Malala" and for her award-winning foreign correspondence.
  • B. Zoe Pilger
    Zoe Pilger is a British novelist, art critic, and journalist known for her debut novel "Eat My Heart Out" and her writing on contemporary feminism and culture.
  • C. Fiona Hill
    Fiona Hill is a British-American foreign policy expert and former U.S. National Security Council official known for her expertise on Russia and her testimony in the first Trump impeachment inquiry.
  • D. Helen Epstein
    Helen Epstein is an American writer and journalist known for her work on Holocaust memoirs, trauma, and the experiences of children of survivors.
  • E. Rossana Rory
    Rossana Rory was an Italian film actress active in the 1950s and 1960s, known for her roles in crime and drama films.
  • 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_69c6995966348190939e6c37ba272c06 completed March 27, 2026, 2:51 p.m.
NER Named-entity recognition batch_69c702459f988190bf7087bf51d5317f completed March 27, 2026, 10:18 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8be22dd6481908bb4c1afaf65bcb4 completed March 29, 2026, 5:52 a.m.
Created at: March 27, 2026, 4:02 p.m.