Triple

T12144824
Position Surface form Disambiguated ID Type / Status
Subject Sedgwick Memorial Medal E289289 entity
Predicate notableRecipient P108 FINISHED
Object Alexander Langmuir E322508 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: Alexander Langmuir | Statement: [Sedgwick Memorial Medal, notableRecipient, Alexander Langmuir]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Alexander Langmuir
Context triple: [Sedgwick Memorial Medal, notableRecipient, Alexander Langmuir]
  • A. Alexander D. Langmuir chosen
    Alexander D. Langmuir was an influential American epidemiologist who helped shape modern disease surveillance and public health training in the United States.
  • B. Walter Sturgeon
    Walter Sturgeon was an American mycologist and mushroom expert known for his field guides and contributions to the study of North American fungi.
  • C. Thomas Graham Kahn
    Thomas Graham Kahn is a member of the Kahn family associated with renowned value investor Irving Kahn.
  • D. Astley Baker Davies
    Astley Baker Davies is a British animation studio best known for creating and producing the popular children's television series Peppa Pig.
  • E. Wendell Mitchell Latimer
    Wendell Mitchell Latimer was an American chemist known for his influential work in thermodynamics and chemical bonding, particularly at the University of California, Berkeley.
  • 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_69d6ab4c6710819097a9d228382dde43 completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d915aacaa08190b31f54e230334406 completed April 10, 2026, 3:22 p.m.
NED1 Entity disambiguation (via context triple) batch_69f60a7e24ac819083e85fb8edb2ed2c completed May 2, 2026, 2:30 p.m.
Created at: April 8, 2026, 9:49 p.m.