Triple

T20127428
Position Surface form Disambiguated ID Type / Status
Subject Mission Blue E490794 entity
Predicate hasFounderRoleOf P5394 FINISHED
Object Sylvia Earle 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: Sylvia Earle | Statement: [Mission Blue, hasFounderRoleOf, Sylvia Earle]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Sylvia Earle
Context triple: [Mission Blue, hasFounderRoleOf, Sylvia Earle]
  • A. Sylvia Earle chosen
    Sylvia Earle is a renowned American marine biologist, oceanographer, and environmental advocate known for her pioneering deep-sea exploration and leadership in ocean conservation.
  • B. Eugenie Clark
    Eugenie Clark was a pioneering American marine biologist and ichthyologist renowned for her groundbreaking research on shark behavior and for promoting marine conservation.
  • C. Nancy O’Dell
    Nancy O’Dell is an American television host and entertainment journalist best known for her long-running work on major entertainment news programs.
  • D. Céline Cousteau
    Céline Cousteau is a French documentary filmmaker, environmental activist, and explorer known for her work highlighting ocean conservation and indigenous communities.
  • E. Suzanne Coston
    Suzanne Coston is a television producer best known for her executive production work on the series "Beggars and Choosers."
  • 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_69da62651a0c8190a3e05e95e056a66b completed April 11, 2026, 3:01 p.m.
NER Named-entity recognition batch_69e66743494c81908e63a5efca3aa3ea completed April 20, 2026, 5:49 p.m.
Created at: April 11, 2026, 11:31 p.m.