Triple

T18300532
Position Surface form Disambiguated ID Type / Status
Subject Ray Tune E438346 entity
Predicate supports P516 FINISHED
Object ASHA — NE NERFINISHED

How this triple was built (3 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: ASHA | Statement: [Ray Tune, supports, ASHA]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: ASHA
Context triple: [Ray Tune, supports, ASHA]
  • A. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • B. ASH
    ASH is the National Rail station code for Ashington railway station in Northumberland, England.
  • C. ASH
    ASH is the leading professional organization in the United States dedicated to the study and treatment of blood disorders and the advancement of hematology research and education.
  • D. ASHT
    ASHT is a professional organization dedicated to advancing the field of hand and upper extremity therapy through education, research, and clinical practice support.
  • E. OASH
    OASH is a division of the U.S. Department of Health and Human Services that provides leadership on national public health policy and oversees key health initiatives and offices.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: ASHA
Target entity description: ASHA (Asynchronous Successive Halving Algorithm) is a hyperparameter optimization method that efficiently allocates computational resources by aggressively early-stopping underperforming trials in parallel.
  • A. ASH
    ASH is the ICAO airline designator used to identify Mesa Airlines in international aviation operations.
  • B. ASH
    ASH is the National Rail station code for Ashington railway station in Northumberland, England.
  • C. ASH
    ASH is the leading professional organization in the United States dedicated to the study and treatment of blood disorders and the advancement of hematology research and education.
  • D. ASHT
    ASHT is a professional organization dedicated to advancing the field of hand and upper extremity therapy through education, research, and clinical practice support.
  • E. OASH
    OASH is a division of the U.S. Department of Health and Human Services that provides leadership on national public health policy and oversees key health initiatives and offices.
  • F. None of above. chosen

Provenance (2 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_69d8b915e3e881909125d760c15d0c29 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e5017e88cc8190a969eb628ca1b496 completed April 19, 2026, 4:23 p.m.
Created at: April 10, 2026, 10:35 a.m.