Triple

T9030946
Position Surface form Disambiguated ID Type / Status
Subject Darrell Rivers E216169 entity
Predicate appearsIn P795 FINISHED
Object Malory Towers E31016 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: Malory Towers | Statement: [Darrell Rivers, appearsIn, Malory Towers]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Malory Towers
Context triple: [Darrell Rivers, appearsIn, Malory Towers]
  • A. Malory Towers chosen
    Malory Towers is a classic British children's book series set in a girls' boarding school, written by Enid Blyton and known for its stories of friendship, school life, and personal growth.
  • 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
    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.
  • 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_69ca83a5fa88819088144801b4dd7245 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc6a9f2c7481909b4a272183f20585 completed April 1, 2026, 12:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfdbc662208190a3f4e6e593208c5c completed April 3, 2026, 3:24 p.m.
Created at: March 30, 2026, 7:08 p.m.