Triple

T4850376
Position Surface form Disambiguated ID Type / Status
Subject Pfizer E108398 entity
Predicate developed P73 FINISHED
Object Lipitor
Lipitor is a widely prescribed statin medication used to lower cholesterol and reduce the risk of cardiovascular disease.
 E474929 NE FINISHED

How this triple was built (4 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: Lipitor | Statement: [Pfizer, developed, Lipitor]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lipitor
Context triple: [Pfizer, developed, Lipitor]
  • A. Zetia
    Zetia is a prescription cholesterol-lowering medication (generic name ezetimibe) that reduces intestinal absorption of cholesterol and is marketed by Merck & Co.
  • B. Lamotrek
    Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
  • C. Motrin
    Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
  • D. Xarelto
    Xarelto is a widely used prescription anticoagulant (blood thinner) that helps prevent and treat blood clots and reduce the risk of stroke in certain patients.
  • E. Prozac
    Prozac is a widely prescribed antidepressant medication (fluoxetine) used to treat major depressive disorder, anxiety disorders, and certain other mental health conditions.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Lipitor
Triple: [Pfizer, developed, Lipitor]
Generated description
Lipitor is a widely prescribed statin medication used to lower cholesterol and reduce the risk of cardiovascular disease.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lipitor
Target entity description: Lipitor is a widely prescribed statin medication used to lower cholesterol and reduce the risk of cardiovascular disease.
  • A. Zetia
    Zetia is a prescription cholesterol-lowering medication (generic name ezetimibe) that reduces intestinal absorption of cholesterol and is marketed by Merck & Co.
  • B. Lamotrek
    Lamotrek is a small atoll in the Federated States of Micronesia known for its traditional seafaring culture and navigational expertise.
  • C. Motrin
    Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
  • D. Xarelto
    Xarelto is a widely used prescription anticoagulant (blood thinner) that helps prevent and treat blood clots and reduce the risk of stroke in certain patients.
  • E. Prozac
    Prozac is a widely prescribed antidepressant medication (fluoxetine) used to treat major depressive disorder, anxiety disorders, and certain other mental health conditions.
  • F. None of above. chosen

Provenance (5 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_69bd440a89548190a5f14ba6da6b97dc completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d1e5cf08190bd6b6a524748f170 completed March 20, 2026, 3:51 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cdefda8819095fbc04446bf32f5 completed March 21, 2026, 8:54 a.m.
NEDg Description generation batch_69be5dadcec88190bf9a272c4a9aef9a completed March 21, 2026, 8:58 a.m.
NED2 Entity disambiguation (via description) batch_69be6159ff7c8190baa116240f76dea5 completed March 21, 2026, 9:14 a.m.
Created at: March 20, 2026, 1:25 p.m.