Triple
T16750401
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | SmithKline Beckman |
E407057
|
entity |
| Predicate | notableProduct |
P1448
|
FINISHED |
| Object | Tagamet |
E436638
|
NE FINISHED |
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: Tagamet | Statement: [SmithKline Beckman, notableProduct, Tagamet]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Tagamet Context triple: [SmithKline Beckman, notableProduct, Tagamet]
-
A.
Pepcid
Pepcid is a widely used over-the-counter and prescription heartburn and acid reflux medication whose brand is owned by Kenvue.
-
B.
Motrin
Motrin is a widely used over-the-counter ibuprofen pain reliever and fever reducer medication.
-
C.
Gaviscon
Gaviscon is an over-the-counter antacid and reflux relief medication commonly used to treat heartburn and indigestion.
-
D.
Panazol
Panazol is a suburban commune in west-central France, located just east of the city of Limoges in the Nouvelle-Aquitaine region.
-
E.
H2 receptor antagonist cimetidine
chosen
H2 receptor antagonist cimetidine is a pioneering anti-ulcer medication that reduces stomach acid production by blocking histamine H2 receptors in the gastric parietal cells.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69d8838ffb088190a0b11149929006bf |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3aa265a908190a87fa4612bfe6396 |
completed | April 18, 2026, 3:58 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00a522255c8190ab16d7ad233fcd3b |
completed | May 10, 2026, 3:32 p.m. |
Created at: April 10, 2026, 5:21 a.m.