Triple

T2021261
Position Surface form Disambiguated ID Type / Status
Subject John Irving E44109 entity
Predicate wrote P2831 FINISHED
Object Trying to Save Piggy Sneed E225164 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: Trying to Save Piggy Sneed | Statement: [John Irving, wrote, Trying to Save Piggy Sneed]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Trying to Save Piggy Sneed
Context triple: [John Irving, wrote, Trying to Save Piggy Sneed]
  • A. Trying to Save Piggy Sneed chosen
    Trying to Save Piggy Sneed is a collection of short stories, memoir pieces, and essays by John Irving that showcases his blend of dark humor, personal reflection, and inventive storytelling.
  • B. Children of the Alley
    Children of the Alley is a controversial novel by Egyptian Nobel laureate Naguib Mahfouz that allegorically retells religious and social history through the lives of successive generations in a Cairo alley.
  • C. The Squeaker
    The Squeaker is a crime novel by Edgar Wallace centered on a mysterious underworld informant who betrays criminals to the police.
  • D. The Peg
    The Peg is a colloquial nickname for Winnipeg, the capital and largest city of the Canadian province of Manitoba.
  • E. The Dog Pound
    The Dog Pound is the passionate student cheering section known for creating an energetic home-ice atmosphere at Boston University Terriers men's hockey games.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8ee02dc81908fec9fd8df7a4f40 completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae1fe88e8881909f2e64ebe23b6d1f completed March 9, 2026, 1:18 a.m.
Created at: March 4, 2026, 7:38 p.m.