Triple

T22955705
Position Surface form Disambiguated ID Type / Status
Subject Dian Fossey E570748 entity
Predicate influencedBy P9 FINISHED
Object Jane Goodall 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: Jane Goodall | Statement: [Dian Fossey, influencedBy, Jane Goodall]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jane Goodall
Context triple: [Dian Fossey, influencedBy, Jane Goodall]
  • A. Jane Goodall chosen
    Jane Goodall is a pioneering British primatologist and conservationist renowned for her groundbreaking long-term study of wild chimpanzees in Tanzania and her advocacy for animal welfare and environmental protection.
  • B. John Goodall
    John Goodall was a prominent late 19th-century English footballer and forward, best known as a star player for Preston North End’s legendary “Invincibles” team.
  • C. Dian Fossey
    Dian Fossey was an American primatologist and conservationist renowned for her groundbreaking long-term study and protection of mountain gorillas in Rwanda.
  • D. Goodall
    Goodall is a surname of English origin borne by various notable individuals in fields such as science, the arts, and public life.
  • E. Brigitte Fossey
    Brigitte Fossey is a French actress known for her early breakthrough in "Forbidden Games" (1952) and a long career in European cinema and television.
  • 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_69e245b212a88190b5259caf51606084 completed April 17, 2026, 2:37 p.m.
NER Named-entity recognition batch_69f181f09de48190b55913570c965412 completed April 29, 2026, 3:58 a.m.
Created at: April 17, 2026, 3:47 p.m.