Triple

T686675
Position Surface form Disambiguated ID Type / Status
Subject Morton Arboretum E13298 entity
Predicate namedAfter P63 FINISHED
Object Joy Morton E213746 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: Joy Morton | Statement: [Morton Arboretum, namedAfter, Joy Morton]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Joy Morton
Context triple: [Morton Arboretum, namedAfter, Joy Morton]
  • A. Joy Morton chosen
    Joy Morton was an American businessman and philanthropist best known as the founder of the Morton Salt Company and a major advocate for tree conservation and public arboreta.
  • B. Marjorie Bowes
    Marjorie Bowes was the English wife of Scottish Reformation leader John Knox, known primarily through her marriage into the prominent Protestant reformer’s life and circle.
  • C. Gladys Brockwell
    Gladys Brockwell was an American stage and silent film actress known for her intense dramatic roles during the early 20th century.
  • D. June Rowlands
    June Rowlands was a Canadian politician who became the first woman to serve as mayor of Toronto, leading the city in the early 1990s.
  • E. Loretta Devine
    Loretta Devine is an American actress known for her warm, soulful performances in film, television, and theater, including notable roles in projects like "Waiting to Exhale" and the TV series "Grey's Anatomy."
  • 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_69a4933e0f98819097d22766c49b61b8 completed March 1, 2026, 7:27 p.m.
NER Named-entity recognition batch_69a4a093ac988190bb339616a3ed5adb completed March 1, 2026, 8:24 p.m.
NED1 Entity disambiguation (via context triple) batch_69adf39f5694819086fcdbd27fa2ea4b completed March 8, 2026, 10:09 p.m.
Created at: March 1, 2026, 7:36 p.m.