Triple

T18414620
Position Surface form Disambiguated ID Type / Status
Subject Pioppi E441853 entity
Predicate hasNotableResident P1092 FINISHED
Object Ancel Keys 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: Ancel Keys | Statement: [Pioppi, hasNotableResident, Ancel Keys]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ancel Keys
Context triple: [Pioppi, hasNotableResident, Ancel Keys]
  • A. Ancel Keys chosen
    Ancel Keys was an American physiologist and nutrition researcher best known for developing K-rations for the U.S. military and for pioneering studies linking diet, cholesterol, and heart disease, including the influential Seven Countries Study.
  • B. Elmer McCollum
    Elmer McCollum was an American biochemist best known for discovering vitamins A and B and helping to establish the field of nutritional science.
  • C. John McDougall
    John McDougall is the child of Alexander McDougall, likely known in relation to his parent’s family or historical background.
  • D. Kenneth Mellanby
    Kenneth Mellanby was a British biologist and entomologist known for his pioneering research on insect physiology and his role in developing DDT-based control of insect-borne diseases.
  • E. David Katz
    David Katz was a notable figure significant enough in the cultural or academic sphere to have the Yolanda and David Katz Faculty of the Arts named in his honor.
  • 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_69d8b9eb8a508190a942fd75ebd8b1dc completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e51a26d268819098e6791dc98efcda completed April 19, 2026, 6:08 p.m.
Created at: April 10, 2026, 10:47 a.m.