Triple

T19296709
Position Surface form Disambiguated ID Type / Status
Subject Beecham family E482583 entity
Predicate associatedWith P37 FINISHED
Object GlaxoSmithKline 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: GlaxoSmithKline | Statement: [Beecham family, associatedWith, GlaxoSmithKline]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: GlaxoSmithKline
Context triple: [Beecham family, associatedWith, GlaxoSmithKline]
  • A. GlaxoSmithKline chosen
    GlaxoSmithKline is a global biopharmaceutical company known for developing and manufacturing prescription medicines, vaccines, and consumer healthcare products.
  • B. AstraZeneca
    AstraZeneca is a global biopharmaceutical company known for researching, developing, and manufacturing prescription medicines across areas such as oncology, cardiovascular, respiratory, and immunology.
  • C. Merck & Co.
    Merck & Co. is a major American pharmaceutical company known for developing and producing vaccines, oncology drugs, and other innovative medicines.
  • D. 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.
  • E. Merck KGaA
    Merck KGaA is a German multinational science and technology company specializing in healthcare, life science, and electronics.
  • 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_69d8e8cf61b0819096fe3e4107827c4e completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e5fc85e8988190a98bc291121f0153 completed April 20, 2026, 10:14 a.m.
Created at: April 10, 2026, 1:31 p.m.