Triple

T7581365
Position Surface form Disambiguated ID Type / Status
Subject Eat My Heart Out E179496 entity
Predicate author P4 FINISHED
Object Zoe Pilger E33563 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: Zoe Pilger | Statement: [Eat My Heart Out, author, Zoe Pilger]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Zoe Pilger
Context triple: [Eat My Heart Out, author, Zoe Pilger]
  • A. Zoe Pilger chosen
    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.
  • B. Rossana Rory
    Rossana Rory was an Italian film actress active in the 1950s and 1960s, known for her roles in crime and drama films.
  • C. Christina Lamb
    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.
  • D. Sam Pilger
    Sam Pilger is a British sports journalist and writer known for his coverage of football and contributions to major publications.
  • E. Stacy Poitras
    Stacy Poitras is an American chainsaw sculptor and artist known for his large-scale wood carvings, particularly of bears and Western-themed figures.
  • 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_69c69f327db881909a21ae3b156f8ded completed March 27, 2026, 3:16 p.m.
NER Named-entity recognition batch_69c6f97717048190b0ca1a74ed8a817e completed March 27, 2026, 9:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8617b8934819094f596e6a037e468 completed March 28, 2026, 11:17 p.m.
Created at: March 27, 2026, 3:52 p.m.