Triple
T21401205
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Peptamen |
E527915
|
entity |
| Predicate | brandFamily |
P11218
|
FINISHED |
| Object | Peptamen AF |
—
|
NE NERFINISHED |
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: Peptamen AF | Statement: [Peptamen, brandFamily, Peptamen AF]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Peptamen AF Context triple: [Peptamen, brandFamily, Peptamen AF]
-
A.
Peptamen
chosen
Peptamen is a specialized medical nutrition formula designed for people with impaired gastrointestinal function, produced under Nestlé Health Science’s clinical nutrition portfolio.
-
B.
Nutramigen
Nutramigen is a hypoallergenic infant formula brand designed for babies with cow’s milk protein allergy and related digestive issues.
-
C.
Nutren
Nutren is a Nestlé Health Science nutritional supplement brand offering specialized formulas for medical and dietary needs.
-
D.
Nutricia
Nutricia is a Danone-owned brand specializing in medical and early life nutrition products.
-
E.
Abbott Nutrition
Abbott Nutrition is a global healthcare company division specializing in science-based nutritional products for infants, children, and adults.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69e0b520ee3c8190abddbee7e37e834c |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b16f7c5081909475eb5bb6177955 |
completed | April 22, 2026, 11:30 a.m. |
Created at: April 16, 2026, 5:15 p.m.