Triple

T597487
Position Surface form Disambiguated ID Type / Status
Subject Nicholas Nickleby (2002 film) E11417 entity
Predicate alternateTitle P39 FINISHED
Object Nicholas Nickleby E11417 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: Nicholas Nickleby | Statement: [Nicholas Nickleby (2002 film), alternateTitle, Nicholas Nickleby]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nicholas Nickleby
Context triple: [Nicholas Nickleby (2002 film), alternateTitle, Nicholas Nickleby]
  • A. Nicholas Nickleby chosen
    Nicholas Nickleby is a 2002 film adaptation of Charles Dickens's novel, following a young man who must protect his family from hardship and cruelty in 19th-century England.
  • B. Oliver
    Oliver is the given name of Oliver Wendell Holmes Sr., a prominent 19th-century American physician, poet, and essayist.
  • C. Great Expectations
    Great Expectations is a program section of the Telluride Film Festival that highlights notable and anticipated films.
  • D. Matilda
    Matilda is a virtuous and tragic noblewoman in Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
  • E. A Little Princess
    A Little Princess is a 1995 fantasy drama film directed by Alfonso Cuarón, adapted from Frances Hodgson Burnett’s novel, and acclaimed for its lush, imaginative visual style.
  • 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_69a4932779b881908688590d59c71900 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a49d2b98d08190a1c1e8659efdfd75 completed March 1, 2026, 8:10 p.m.
NED1 Entity disambiguation (via context triple) batch_69a5216e11248190a8c564a482d649a6 completed March 2, 2026, 5:34 a.m.
Created at: March 1, 2026, 7:35 p.m.