Triple

T22188710
Position Surface form Disambiguated ID Type / Status
Subject Girls at War and Other Stories E548360 entity
Predicate containsWork P2011 FINISHED
Object The Vengeful Creditor 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: The Vengeful Creditor | Statement: [Girls at War and Other Stories, containsWork, The Vengeful Creditor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: The Vengeful Creditor
Context triple: [Girls at War and Other Stories, containsWork, The Vengeful Creditor]
  • A. The Defrauders
    The Defrauders is the English rendering of the title of Surah Al-Mutaffifin, a chapter of the Qur’an that condemns fraudulent dealings and moral corruption.
  • B. The Debt Collector
    The Debt Collector is a British crime film known for its gritty portrayal of a tough enforcer navigating the violent underworld of debt collection.
  • C. The Bribe
    The Bribe is a 1949 film noir crime drama starring Robert Taylor as a federal agent entangled in corruption and moral conflict while investigating a wartime black-market ring in a Central American island.
  • D. The Devil to Pay
    The Devil to Pay is a stage play by Scottish dramatist James Bridie, known for its witty dialogue and exploration of moral and philosophical themes.
  • E. The Devil to Pay
    The Devil to Pay is a 1938 Ellery Queen detective novel featuring the sleuth’s investigation into murder and corruption in Hollywood.
  • 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: The Vengeful Creditor
Target entity description: "The Vengeful Creditor" is a short story by Chinua Achebe that satirically explores class inequality, education, and social change in postcolonial Nigeria through the conflict between a wealthy family and their former servant.
  • A. The Defrauders
    The Defrauders is the English rendering of the title of Surah Al-Mutaffifin, a chapter of the Qur’an that condemns fraudulent dealings and moral corruption.
  • B. The Debt Collector
    The Debt Collector is a British crime film known for its gritty portrayal of a tough enforcer navigating the violent underworld of debt collection.
  • C. The Bribe
    The Bribe is a 1949 film noir crime drama starring Robert Taylor as a federal agent entangled in corruption and moral conflict while investigating a wartime black-market ring in a Central American island.
  • D. The Devil to Pay
    The Devil to Pay is a stage play by Scottish dramatist James Bridie, known for its witty dialogue and exploration of moral and philosophical themes.
  • E. The Devil to Pay
    The Devil to Pay is a 1938 Ellery Queen detective novel featuring the sleuth’s investigation into murder and corruption in Hollywood.
  • 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_69e11e3e0c7c8190b30d278845e2497e completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f12aab3d2c81908a3b5a5c127c4aac completed April 28, 2026, 9:46 p.m.
Created at: April 16, 2026, 8:35 p.m.