Triple

T427371
Position Surface form Disambiguated ID Type / Status
Subject Chief Seattle E9636 entity
Predicate child P120 FINISHED
Object Princess Angeline E54296 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: Princess Angeline | Statement: [Chief Seattle, child, Princess Angeline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Princess Angeline
Context triple: [Chief Seattle, child, Princess Angeline]
  • A. Princess Angeline chosen
    Princess Angeline was the eldest daughter of Chief Seattle and a well-known Duwamish woman who became a symbolic figure of Seattle’s Indigenous history in the late 19th century.
  • B. Princess May
    Princess May, better known as Mary of Teck, was Queen consort of the United Kingdom as the wife of King George V and the mother of Kings Edward VIII and George VI.
  • C. Princess Royal
    Princess Royal is a British royal title traditionally granted to the eldest daughter of the reigning monarch.
  • D. Eleanor
    Eleanor is a feminine given name most famously borne by Eleanor Roosevelt, the influential First Lady of the United States and human rights advocate.
  • E. Eleanor
    Eleanor was one of the merchant ships in Boston Harbor whose tea cargo was destroyed during the Boston Tea Party protest against British taxation in 1773.
  • 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_69a2e801e1d48190b505d1dd336b52ac completed Feb. 28, 2026, 1:05 p.m.
NER Named-entity recognition batch_69a2eed7f3508190995dcd39586ed614 completed Feb. 28, 2026, 1:34 p.m.
NED1 Entity disambiguation (via context triple) batch_69a431df41888190b643fd3cf0d20a09 completed March 1, 2026, 12:32 p.m.
Created at: Feb. 28, 2026, 1:11 p.m.