Triple

T15491838
Position Surface form Disambiguated ID Type / Status
Subject Battle of Canary Wharf E378704 entity
Predicate featuresCharacter P626 FINISHED
Object Yvonne Hartman 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: Yvonne Hartman | Statement: [Battle of Canary Wharf, featuresCharacter, Yvonne Hartman]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Yvonne Hartman
Context triple: [Battle of Canary Wharf, featuresCharacter, Yvonne Hartman]
  • A. Yvonne Hartman chosen
    Yvonne Hartman is a high-ranking and ambitious director of the Torchwood Institute in the Doctor Who universe, known for her role in the events leading to a catastrophic interdimensional breach.
  • B. Yvonne Landowski
    Yvonne Landowski was the wife of French sculptor Paul Landowski, known primarily in relation to his life and work.
  • C. Carole Werner
    Carole Werner is a character appearing in the 1965 romantic comedy film "What’s New Pussycat?".
  • D. Lenore Fleischer
    Lenore Fleischer is an American writer and editor best known for her numerous novelizations and tie-in books for popular films and television series.
  • E. Barbara Grier
    Barbara Grier was an influential American lesbian writer, editor, and publisher best known for her pioneering work in lesbian literature and for co-founding the groundbreaking Naiad Press.
  • 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_69d85cd53a7c819080f5b9042c4c199e completed April 10, 2026, 2:13 a.m.
NER Named-entity recognition batch_69e03fac2af88190ac1d119e6b21dbe0 completed April 16, 2026, 1:47 a.m.
Created at: April 10, 2026, 3:49 a.m.