Triple

T22516402
Position Surface form Disambiguated ID Type / Status
Subject posaconazole E556658 entity
Predicate developedBy P73 FINISHED
Object Merck & Co. 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: Merck & Co. | Statement: [posaconazole, developedBy, Merck & Co.]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Merck & Co.
Context triple: [posaconazole, developedBy, Merck & Co.]
  • A. Merck & Co. chosen
    Merck & Co. is a major American pharmaceutical company known for developing and producing vaccines, oncology drugs, and other innovative medicines.
  • B. Bristol Myers Squibb
    Bristol Myers Squibb is a global biopharmaceutical company known for developing and manufacturing innovative medicines in areas such as oncology, immunology, and cardiovascular disease.
  • C. Merck KGaA
    Merck KGaA is a German multinational science and technology company specializing in healthcare, life science, and electronics.
  • D. Pharmaceutical Research and Manufacturers of America
    Pharmaceutical Research and Manufacturers of America is a major U.S. trade association representing leading biopharmaceutical and drug research companies.
  • E. Schering-Plough
    Schering-Plough was a major American pharmaceutical company known for developing prescription medicines, vaccines, and consumer health products before its merger with Merck & Co.
  • 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_69e11e5657e881909f16ca58352c50da completed April 16, 2026, 5:37 p.m.
NER Named-entity recognition batch_69f15e2cfc908190b3489228a1997f45 completed April 29, 2026, 1:26 a.m.
Created at: April 16, 2026, 8:50 p.m.