Triple

T19331810
Position Surface form Disambiguated ID Type / Status
Subject Fosun Pharma E483513 entity
Predicate collaboratesWith P37 FINISHED
Object BioNTech 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: BioNTech | Statement: [Fosun Pharma, collaboratesWith, BioNTech]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: BioNTech
Context triple: [Fosun Pharma, collaboratesWith, BioNTech]
  • A. BioNTech chosen
    BioNTech is a German biotechnology company best known for developing one of the first mRNA-based COVID-19 vaccines in partnership with Pfizer.
  • B. Pfizer–BioNTech
    Pfizer–BioNTech is a pharmaceutical partnership best known for developing one of the first widely authorized mRNA vaccines against COVID-19.
  • C. Regeneron Pharmaceuticals
    Regeneron Pharmaceuticals is a leading American biotechnology company known for developing innovative antibody-based therapies for serious diseases, including eye disorders, cancer, and inflammatory conditions.
  • D. Janssen Biotech
    Janssen Biotech is a biopharmaceutical company known for developing and manufacturing innovative biologic therapies, including the blockbuster monoclonal antibody Remicade.
  • E. Moderna
    Moderna is a biotechnology company best known for pioneering mRNA-based vaccines, including one of the first widely used COVID-19 vaccines.
  • 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_69d8e8d13e3c81909d91d1d5ec37c095 completed April 10, 2026, 12:10 p.m.
NER Named-entity recognition batch_69e616422fa08190bf4bde4312ec7cf3 completed April 20, 2026, 12:04 p.m.
Created at: April 10, 2026, 1:33 p.m.