Triple

T20955810
Position Surface form Disambiguated ID Type / Status
Subject The Farming of Bones E516096 entity
Predicate relatedWorkByAuthor P922 FINISHED
Object Krik? Krak! NE NERFINISHED

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: Krik? Krak! | Statement: [The Farming of Bones, relatedWorkByAuthor, Krik? Krak!]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Krik? Krak!
Context triple: [The Farming of Bones, relatedWorkByAuthor, Krik? Krak!]
  • A. Krik? Krak! chosen
    Krik? Krak! is a critically acclaimed collection of interrelated short stories by Haitian-American author Edwidge Danticat that explores Haitian history, migration, and the resilience of Haitian women.
  • B. Kraak
    Kraak is a Dutch surname most notably associated with former football goalkeeper Piet Kraak.
  • C. War Cripples
    War Cripples is a powerful anti-war painting by German artist Otto Dix that depicts the brutal physical and psychological toll of World War I on disabled veterans.
  • D. Kaboom
    Kaboom is a 2010 surreal coming-of-age dark comedy film written and directed by Gregg Araki.
  • E. Unternehmen Paukenschlag
    Unternehmen Paukenschlag was the German World War II U-boat campaign against Allied shipping off the east coast of North America in early 1942, intended to disrupt transatlantic supply lines.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e0b4fcd678819087a304291f14330a completed April 16, 2026, 10:07 a.m.
NER Named-entity recognition batch_69e6fb6b19048190b266ed24f6fc1a97 completed April 21, 2026, 4:22 a.m.
Created at: April 16, 2026, 1:28 p.m.