Triple

T8805172
Position Surface form Disambiguated ID Type / Status
Subject The Black Reckoning E209510 entity
Predicate featuresCharacter P626 FINISHED
Object Kate Wibberly E758367 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: Kate Wibberly | Statement: [The Black Reckoning, featuresCharacter, Kate Wibberly]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Kate Wibberly
Context triple: [The Black Reckoning, featuresCharacter, Kate Wibberly]
  • A. Kate Wibberly chosen
    Kate Wibberly is a fictional character appearing in John Stephens' fantasy novel "The Fire Chronicle," part of the Books of Beginning series.
  • B. Emily Jenkins
    Emily Jenkins is an American author best known for her children's books and young adult fiction, often written under the pen name E. Lockhart.
  • C. Pamela Gray
    Pamela Gray is an American screenwriter known for her work on character-driven drama films, including the military biographical film "Megan Leavey."
  • D. Laura Bond
    Laura Bond was the wife of Robert Laird Borden, the eighth prime minister of Canada.
  • E. Jacqueline Wilson
    Jacqueline Wilson is a British children's author best known for her realistic and emotionally rich novels such as "Tracy Beaker," which often explore complex family and social issues.
  • 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_69ca836320e48190b5cf585b90a322c4 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc5fd04eb88190acc4e085d82016c0 completed March 31, 2026, 11:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69cf8921a13081909346b97c024110b6 completed April 3, 2026, 9:32 a.m.
Created at: March 30, 2026, 6:44 p.m.