Triple

T22503950
Position Surface form Disambiguated ID Type / Status
Subject Medidata Solutions E556341 entity
Predicate product P490 FINISHED
Object Medidata Rave Imaging NE NERFINISHED

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: Medidata Rave Imaging | Statement: [Medidata Solutions, product, Medidata Rave Imaging]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Medidata Rave Imaging
Context triple: [Medidata Solutions, product, Medidata Rave Imaging]
  • A. Lumify
    Lumify is an over-the-counter eye drop brand from Bausch + Lomb known for reducing eye redness and brightening the appearance of the eyes.
  • B. Orthanc chosen
    Orthanc is an open-source, lightweight DICOM server and ecosystem designed for medical imaging storage, retrieval, and integration in healthcare and research environments.
  • C. Orthanc
    Orthanc is the black, indestructible tower of Isengard in J.R.R. Tolkien’s Middle-earth, serving as Saruman’s stronghold and seat of power.
  • D. Regenstrief Medical Record System
    The Regenstrief Medical Record System is an early, pioneering electronic medical record platform that helped shape modern health informatics and clinical data management practices.
  • E. IHE PIX
    IHE PIX (Patient Identifier Cross-Referencing) is an IHE profile that enables healthcare systems to link and manage multiple patient identifiers across different institutions to support accurate patient identity matching and data exchange.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

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_69e11e555edc81909ca803587dafd747 completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15d5ac5808190a66f9111c350f4dc completed April 29, 2026, 1:22 a.m.
Created at: April 16, 2026, 8:50 p.m.