Triple

T20340367
Position Surface form Disambiguated ID Type / Status
Subject Smith, Kline & French E495721 entity
Predicate notableProduct P1448 FINISHED
Object Tagamet
Tagamet is a widely used brand-name medication (cimetidine) that reduces stomach acid and is commonly prescribed for ulcers and gastroesophageal reflux disease (GERD).
E1428341 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: Tagamet | Statement: [Smith, Kline & French, notableProduct, Tagamet]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tagamet
Context triple: [Smith, Kline & French, notableProduct, Tagamet]
  • A. Losec
    Losec is a widely used proton pump inhibitor medication (omeprazole) for treating acid-related stomach and esophageal conditions such as ulcers and gastroesophageal reflux disease (GERD).
  • B. Pepcid
    Pepcid is a widely used over-the-counter and prescription heartburn and acid reflux medication whose brand is owned by Kenvue.
  • C. Motrin
    Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
  • D. Gaviscon
    Gaviscon is an over-the-counter antacid and reflux relief medication commonly used to treat heartburn and indigestion.
  • E. Panazol
    Panazol is a suburban commune in west-central France, located just east of the city of Limoges in the Nouvelle-Aquitaine region.
  • 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: Tagamet
Triple: [Smith, Kline & French, notableProduct, Tagamet]
Generated description
Tagamet is a widely used brand-name medication (cimetidine) that reduces stomach acid and is commonly prescribed for ulcers and gastroesophageal reflux disease (GERD).
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tagamet
Target entity description: Tagamet is a widely used brand-name medication (cimetidine) that reduces stomach acid and is commonly prescribed for ulcers and gastroesophageal reflux disease (GERD).
  • A. Losec
    Losec is a widely used proton pump inhibitor medication (omeprazole) for treating acid-related stomach and esophageal conditions such as ulcers and gastroesophageal reflux disease (GERD).
  • B. Pepcid
    Pepcid is a widely used over-the-counter and prescription heartburn and acid reflux medication whose brand is owned by Kenvue.
  • C. Motrin
    Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
  • D. Gaviscon
    Gaviscon is an over-the-counter antacid and reflux relief medication commonly used to treat heartburn and indigestion.
  • E. Panazol
    Panazol is a suburban commune in west-central France, located just east of the city of Limoges in the Nouvelle-Aquitaine region.
  • 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_69e0b4a1a09881908d97270d6971a25a completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e6783533a881909a12311bb9c66542 completed April 20, 2026, 7:02 p.m.
NED1 Entity disambiguation (via context triple) batch_6a08760ac91c81908d9a2d8c91823342 completed May 16, 2026, 1:50 p.m.
NEDg Description generation batch_6a08777944a0819084a966306cb3a126 completed May 16, 2026, 1:56 p.m.
NED2 Entity disambiguation (via description) batch_6a087841f0dc81909e6cf27c87faa02e completed May 16, 2026, 1:59 p.m.
Created at: April 16, 2026, 11:23 a.m.