Triple

T2371342
Position Surface form Disambiguated ID Type / Status
Subject Gert Boyle E46096 entity
Predicate givenName P17 FINISHED
Object Gertrude E187883 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: Gertrude | Statement: [Gert Boyle, givenName, Gertrude]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gertrude
Context triple: [Gert Boyle, givenName, Gertrude]
  • A. Gertrude chosen
    Gertrude is a feminine given name of Germanic origin, historically popular in Europe and North America.
  • B. Ophelia
    Ophelia is a famous 1894 Pre-Raphaelite painting by John William Waterhouse depicting the tragic Shakespearean heroine from Hamlet.
  • C. Ophelia
    Ophelia is a famous 1851–52 painting by John Everett Millais, emblematic of the Pre-Raphaelite movement and depicting Shakespeare’s tragic heroine floating in a stream surrounded by lush, detailed flora.
  • D. Ophelia
    Ophelia is a fictional character best known as the tragic, doomed heroine of William Shakespeare’s play "Hamlet."
  • E. Thyra of Denmark
    Thyra of Denmark was a Danish princess, the youngest daughter of King Christian IX and Queen Louise, known for her dynastic marriage into the royal family of Hanover.
  • 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_69a88a145268819083e2736cb835c696 completed March 4, 2026, 7:37 p.m.
NER Named-entity recognition batch_69abc771302481908540e31abb5aeeba completed March 7, 2026, 6:36 a.m.
NED1 Entity disambiguation (via context triple) batch_69aea8a2b1448190b19179cf379993ee completed March 9, 2026, 11:01 a.m.
Created at: March 4, 2026, 7:56 p.m.