Triple

T19992873
Position Surface form Disambiguated ID Type / Status
Subject Namenda E494105 entity
Predicate developedBy P73 FINISHED
Object Forest Laboratories NE NERFINISHED

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: Forest Laboratories | Statement: [Namenda, developedBy, Forest Laboratories]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Forest Laboratories
Context triple: [Namenda, developedBy, Forest Laboratories]
  • A. Cephalon
    Cephalon was a biopharmaceutical company known for developing and marketing specialty drugs in areas such as central nervous system disorders, pain management, and oncology.
  • B. Eli Lilly and Company
    Eli Lilly and Company is a major American pharmaceutical corporation known for developing and manufacturing a wide range of prescription medicines, including treatments for diabetes, cancer, and mental health disorders.
  • C. Teva Pharmaceutical Industries
    Teva Pharmaceutical Industries is a global pharmaceutical company based in Israel, best known as one of the world’s largest manufacturers of generic medicines and a producer of specialty and over-the-counter drugs.
  • D. Merck & Co.
    Merck & Co. is a major American pharmaceutical company known for developing and producing vaccines, oncology drugs, and other innovative medicines.
  • E. 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.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Forest Laboratories
Target entity description: Forest Laboratories was an American pharmaceutical company known for developing and marketing branded prescription drugs, particularly in the central nervous system and cardiovascular therapeutic areas.
  • A. Cephalon
    Cephalon was a biopharmaceutical company known for developing and marketing specialty drugs in areas such as central nervous system disorders, pain management, and oncology.
  • B. Eli Lilly and Company
    Eli Lilly and Company is a major American pharmaceutical corporation known for developing and manufacturing a wide range of prescription medicines, including treatments for diabetes, cancer, and mental health disorders.
  • C. Teva Pharmaceutical Industries
    Teva Pharmaceutical Industries is a global pharmaceutical company based in Israel, best known as one of the world’s largest manufacturers of generic medicines and a producer of specialty and over-the-counter drugs.
  • D. Merck & Co.
    Merck & Co. is a major American pharmaceutical company known for developing and producing vaccines, oncology drugs, and other innovative medicines.
  • E. 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.
  • F. None of above. chosen

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_69da626a67648190af9653832a3aeced completed April 11, 2026, 3:02 p.m.
NER Named-entity recognition batch_69e65fe2036c8190b9f313215ad44e87 completed April 20, 2026, 5:18 p.m.
Created at: April 11, 2026, 3:31 p.m.