Triple

T5947837
Position Surface form Disambiguated ID Type / Status
Subject Royal Society medals E132322 entity
Predicate includes P1393 FINISHED
Object Buchanan Medal E110024 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: Buchanan Medal | Statement: [Royal Society medals, includes, Buchanan Medal]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Buchanan Medal
Context triple: [Royal Society medals, includes, Buchanan Medal]
  • A. Buchanan Medal chosen
    The Buchanan Medal is a prestigious award presented by the Royal Society for distinguished contributions to the medical sciences.
  • B. Whitaker Medal
    The Whitaker Medal is a prestigious honor in geology awarded by the Geological Society of London for distinguished contributions to the geosciences.
  • C. Fenner Medal
    The Fenner Medal is a prestigious Australian scientific award recognizing outstanding research in biology by early-career scientists.
  • D. Moran Medal
    The Moran Medal is a prestigious Australian science award recognizing outstanding research achievements by early- to mid-career scientists in the mathematical sciences.
  • E. Bingham Medal
    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.
  • 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_69c00869d3308190af89b2453e0f7546 completed March 22, 2026, 3:19 p.m.
NER Named-entity recognition batch_69c0397c80708190a4778fdb353314b7 completed March 22, 2026, 6:48 p.m.
NED1 Entity disambiguation (via context triple) batch_69c108269e6081909fcb6b880fc92011 completed March 23, 2026, 9:30 a.m.
Created at: March 22, 2026, 4:01 p.m.