Triple

T5613795
Position Surface form Disambiguated ID Type / Status
Subject Mara Wilson E147426 entity
Predicate notableWork P4 FINISHED
Object Matilda E310759 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: Matilda | Statement: [Mara Wilson, notableWork, Matilda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matilda
Context triple: [Mara Wilson, notableWork, Matilda]
  • A. Matilda
    Matilda is a feminine given name of Germanic origin, commonly associated with strength and battle might and borne by various notable historical and contemporary figures.
  • B. Matilda
    Matilda is a virtuous and tragic noblewoman in Horace Walpole’s pioneering Gothic novel "The Castle of Otranto."
  • C. Matilda
    Matilda was the regnal name of Edith of Scotland, who became Queen consort of England as the wife of King Henry I.
  • D. Matilda
    Matilda is the middle name of Louisa Matilda Jacobs, an African American writer and activist and the daughter of abolitionist author Harriet Jacobs.
  • E. Matilda chosen
    Matilda is a 1996 family fantasy-comedy film, based on Roald Dahl’s novel, about a gifted young girl with telekinetic powers who stands up to her cruel parents and tyrannical school principal.
  • 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_69c00905d4588190bd967842bbcf2219 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c021226cf88190b70b4b51eb5b4144 completed March 22, 2026, 5:04 p.m.
NED1 Entity disambiguation (via context triple) batch_69c0287b14708190bc246e982896ad27 completed March 22, 2026, 5:35 p.m.
Created at: March 22, 2026, 3:39 p.m.