Triple

T15982954
Position Surface form Disambiguated ID Type / Status
Subject Ariad Pharmaceuticals E387618 entity
Predicate regulatoryBodyInteraction P79837 FINISHED
Object U.S. Food and Drug Administration E13297 NE FINISHED

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: U.S. Food and Drug Administration | Statement: [Ariad Pharmaceuticals, regulatoryBodyInteraction, U.S. Food and Drug Administration]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: U.S. Food and Drug Administration
Context triple: [Ariad Pharmaceuticals, regulatoryBodyInteraction, U.S. Food and Drug Administration]
  • A. Food and Drug Administration chosen
    The Food and Drug Administration is a U.S. federal agency responsible for protecting public health by regulating food, drugs, medical devices, and other consumer products.
  • B. Center for Biologics Evaluation and Research
    The Center for Biologics Evaluation and Research is the U.S. regulatory body responsible for overseeing the safety, efficacy, and quality of biological products such as vaccines, blood products, and gene therapies.
  • C. Center for Drug Evaluation and Research
    The Center for Drug Evaluation and Research is the U.S. FDA division responsible for overseeing the safety, effectiveness, and quality of prescription and over-the-counter drugs.
  • D. Office of Regulatory Affairs
    The Office of Regulatory Affairs is the U.S. FDA’s primary field organization responsible for inspecting regulated products and manufacturers, enforcing compliance, and overseeing import operations to protect public health.
  • E. FDA CFSAN
    FDA CFSAN is the U.S. Food and Drug Administration’s center responsible for regulating the safety, labeling, and nutritional quality of foods, dietary supplements, and cosmetics.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
PD Predicate disambiguation gpt-5-mini-2025-08-07
Target predicate: regulatoryBodyInteraction
Context triple: [Ariad Pharmaceuticals, regulatoryBodyInteraction, U.S. Food and Drug Administration]
  • A. regulatoryEngagement chosen
    Indicates a relationship where one party interacts with or responds to regulatory bodies or frameworks, typically through compliance activities, consultations, filings, or other formal communications.
  • B. hasRegulatoryOrCulturalBody
    Indicates that an entity is overseen, guided, or influenced by a formal regulatory authority or a culturally significant governing body.
  • C. associatedWithRegulation
    Indicates a relationship where something is linked to, governed by, or relevant to a specific regulation or regulatory framework.
  • D. governingBodyInvolvement
    Indicates the extent or manner in which a governing body participates in, oversees, or influences a particular activity, decision, or entity.
  • E. regulationImpact
    Indicates how a regulation influences, constrains, or alters the behavior, performance, or outcomes associated with the related entities.
  • F. None of above.

Provenance (4 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_69d86da94ccc819083d187f5dc6a123e completed April 10, 2026, 3:25 a.m.
NER Named-entity recognition batch_69e17d4d08f481909f38b75e3f42d9ab completed April 17, 2026, 12:22 a.m.
NED1 Entity disambiguation (via context triple) batch_69ffcf1abad48190a42510605c30d0b3 completed May 10, 2026, 12:19 a.m.
PD Predicate disambiguation batch_69e142d9d8e881909b559a3e3ca21d24 completed April 16, 2026, 8:13 p.m.
Created at: April 10, 2026, 4:54 a.m.