Triple

T2019128
Position Surface form Disambiguated ID Type / Status
Subject Andreas Acrivos E44063 entity
Predicate awardReceived P11 FINISHED
Object Bingham Medal E33229 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: Bingham Medal | Statement: [Andreas Acrivos, awardReceived, Bingham Medal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Bingham Medal
Context triple: [Andreas Acrivos, awardReceived, Bingham Medal]
  • A. Bingham Medal chosen
    The Bingham Medal is a prestigious annual award in rheology recognizing outstanding contributions to the science and engineering of the deformation and flow of matter.
  • B. Buchanan Medal
    The Buchanan Medal is a prestigious award presented by the Royal Society for distinguished contributions to the medical sciences.
  • C. Stuart Ballantine Medal
    The Stuart Ballantine Medal is a prestigious scientific award presented by the Franklin Institute to recognize outstanding achievements in engineering and physical sciences.
  • D. John Scott Medal
    The John Scott Medal is a prestigious scientific and engineering award given to inventors whose innovations have significantly benefited humanity.
  • E. Gibbs Medal
    The Gibbs Medal is a prestigious American chemistry award, historically given for outstanding contributions to the field and counted among the honors received by Linus Pauling.
  • 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_69a8891201bc8190aca837be6de41579 completed March 4, 2026, 7:33 p.m.
NER Named-entity recognition batch_69abb8cfa5c88190b55bce5db968665b completed March 7, 2026, 5:34 a.m.
NED1 Entity disambiguation (via context triple) batch_69ae270a8cd88190a17839c345424ccd completed March 9, 2026, 1:48 a.m.
Created at: March 4, 2026, 7:38 p.m.