Triple

T23508920
Position Surface form Disambiguated ID Type / Status
Subject The Pie E572361 entity
Predicate appearsIn P795 FINISHED
Object novel "National Velvet" — NE NERFINISHED

How this triple was built (3 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: novel "National Velvet" | Statement: [The Pie, appearsIn, novel "National Velvet"]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: novel "National Velvet"
Context triple: [The Pie, appearsIn, novel "National Velvet"]
  • A. National Velvet
    National Velvet is a classic 1944 family sports drama film about a young girl and her horse competing in the Grand National steeplechase.
  • B. novel "Lassie Come-Home"
    "Lassie Come-Home" is a 1940 children's novel by Eric Knight that introduced the beloved collie Lassie in a story about loyalty, perseverance, and the bond between a boy and his dog.
  • C. رواية آنا كارنينا
    «رواية آنا كارنينا» هي رواية كلاسيكية للكاتب الروسي ليو تولستوي تستعرض مأساة امرأة من الطبقة الأرستقراطية تمزقها صراعات الحب والواجب في المجتمع الروسي في القرن التاسع عشر.
  • D. novel "Youth"
    "Youth" is a novel by Chinese author Geling Yan that explores the lives, emotions, and moral struggles of young performers in a military art troupe during a turbulent period in modern Chinese history.
  • E. novel Gone with the Wind
    "Gone with the Wind" is a 1936 historical romance novel by Margaret Mitchell that follows Southern belle Scarlett O'Hara through love, loss, and survival during and after the American Civil War.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: novel "National Velvet"
Target entity description: "National Velvet" is a classic 1935 novel by Enid Bagnold about a determined young girl who trains an unruly horse to compete in the Grand National steeplechase.
  • A. National Velvet
    National Velvet is a classic 1944 family sports drama film about a young girl and her horse competing in the Grand National steeplechase.
  • B. novel "Lassie Come-Home"
    "Lassie Come-Home" is a 1940 children's novel by Eric Knight that introduced the beloved collie Lassie in a story about loyalty, perseverance, and the bond between a boy and his dog.
  • C. رواية آنا كارنينا
    «رواية آنا كارنينا» هي رواية كلاسيكية للكاتب الروسي ليو تولستوي تستعرض مأساة امرأة من الطبقة الأرستقراطية تمزقها صراعات الحب والواجب في المجتمع الروسي في القرن التاسع عشر.
  • D. novel "Youth"
    "Youth" is a novel by Chinese author Geling Yan that explores the lives, emotions, and moral struggles of young performers in a military art troupe during a turbulent period in modern Chinese history.
  • E. novel Gone with the Wind
    "Gone with the Wind" is a 1936 historical romance novel by Margaret Mitchell that follows Southern belle Scarlett O'Hara through love, loss, and survival during and after the American Civil War.
  • F. None of above. chosen

Provenance (2 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_69e245b5e4208190bac8a6509867e394 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f1a902c0788190840d7df1b5450b4d completed April 29, 2026, 6:45 a.m.
Created at: April 17, 2026, 6:07 p.m.