Triple

T4084567
Position Surface form Disambiguated ID Type / Status
Subject Danny DeVito E87557 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: [Danny DeVito, notableWork, Matilda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Matilda
Context triple: [Danny DeVito, 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_69aed9435cf48190ad1da737c962d19d completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefc7a4b488190ab466e2c50329ab3 completed March 9, 2026, 4:59 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562c9760c8190a9292eb1cea55ab2 completed March 14, 2026, 1:29 p.m.
Created at: March 9, 2026, 3:39 p.m.