Triple

T66015
Position Surface form Disambiguated ID Type / Status
Subject APS Prizes and Awards E1315 entity
Predicate includes P1393 FINISHED
Object APS Prizes E1315 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: APS Prizes | Statement: [APS Prizes and Awards, includes, APS Prizes]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: APS Prizes
Context triple: [APS Prizes and Awards, includes, APS Prizes]
  • A. APS Prizes and Awards chosen
    APS Prizes and Awards are a collection of honors presented by the American Physical Society to recognize outstanding achievements and contributions in all areas of physics.
  • B. Toppan Prize
    The Toppan Prize is a prestigious academic award at Harvard University recognizing outstanding doctoral dissertations in the social sciences.
  • C. Hoover Medal
    The Hoover Medal is an American engineering award that honors outstanding civic and humanitarian service by engineers.
  • D. IEEE John von Neumann Medal
    The IEEE John von Neumann Medal is a prestigious technical award presented by the IEEE for outstanding achievements in computer-related science and technology.
  • E. Fritz J. and Dolores H. Russ Prize
    The Fritz J. and Dolores H. Russ Prize is a major international engineering award recognizing outstanding achievements in bioengineering that significantly improve the human condition.
  • 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_69a24ba4f760819081f6638a3c70538a completed Feb. 28, 2026, 1:57 a.m.
NER Named-entity recognition batch_69a24ee6ba348190b00977285d74d8f5 completed Feb. 28, 2026, 2:11 a.m.
NED1 Entity disambiguation (via context triple) batch_69a2554da8848190a445b503d98769aa completed Feb. 28, 2026, 2:39 a.m.
Created at: Feb. 28, 2026, 2:02 a.m.