Triple

T17310504
Position Surface form Disambiguated ID Type / Status
Subject Peter Piot E420281 entity
Predicate awardReceived P11 FINISHED
Object Prince Mahidol Award E33172 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: Prince Mahidol Award | Statement: [Peter Piot, awardReceived, Prince Mahidol Award]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince Mahidol Award
Context triple: [Peter Piot, awardReceived, Prince Mahidol Award]
  • A. Prince Mahidol Award chosen
    The Prince Mahidol Award is a prestigious international honor presented by Thailand for outstanding contributions to medicine and public health.
  • B. Eijkman Medal
    The Eijkman Medal is a prestigious Dutch scientific award recognizing outstanding contributions to medical and biological research, particularly in fields related to nutrition and tropical medicine.
  • C. Kalinga Prize
    The Kalinga Prize is a UNESCO award that honors individuals for exceptional contributions to the popularization of science.
  • D. Keio Medical Science Prize
    The Keio Medical Science Prize is a prestigious international award presented by Keio University to recognize outstanding contributions to the field of medical and life sciences.
  • E. Okawa Prize
    The Okawa Prize is a prestigious international award recognizing outstanding contributions to information and telecommunications technologies.
  • 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_69d889d22b848190a4663d0b8f8f76e7 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e4399837b08190b7cf74201b3cb013 completed April 19, 2026, 2:10 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0180e5043081908f31c2434e9b9647 completed May 11, 2026, 7:10 a.m.
Created at: April 10, 2026, 5:43 a.m.