Triple

T17649833
Position Surface form Disambiguated ID Type / Status
Subject Mary Everest E429456 entity
Predicate father P120 FINISHED
Object Thomas Everest NE NERFINISHED

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: Thomas Everest | Statement: [Mary Everest, father, Thomas Everest]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Thomas Everest
Context triple: [Mary Everest, father, Thomas Everest]
  • A. Thomas Everest chosen
    Thomas Everest was the father of Mary Everest, who became a notable mathematician and educator.
  • B. Hiram Bond Everest
    Hiram Bond Everest was an American businessman and industrialist best known as a pioneering figure in the early petroleum and lubricants industry.
  • C. Mount William
    Mount William is a prominent peak in western Victoria, Australia, known for its scenic views and status as the highest summit in the Grampians range.
  • D. Mount William
    Mount William is a nearby peak in the Tumbledown Mountain area of western Maine, known as part of a popular hiking and outdoor recreation region.
  • E. Gannett Peak
    Gannett Peak is the tallest mountain in Wyoming, located in the remote Wind River Range and known for its challenging alpine climbing and extensive glaciers.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d889e2c2608190b762e76d9b2262f1 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e46e3c7da48190b38558bc66637687 completed April 19, 2026, 5:55 a.m.
Created at: April 10, 2026, 6:05 a.m.