Triple
T10502961
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Similac |
E247714
|
entity |
| Predicate | brandOf |
P1500
|
FINISHED |
| Object |
Abbott Nutrition
Abbott Nutrition is a global healthcare company division specializing in science-based nutritional products for infants, children, and adults.
|
E867361
|
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: Abbott Nutrition | Statement: [Similac, brandOf, Abbott Nutrition]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Abbott Nutrition Context triple: [Similac, brandOf, Abbott Nutrition]
-
A.
Nutricia
Nutricia is a Danone-owned brand specializing in medical and early life nutrition products.
-
B.
Mead Johnson & Company
Mead Johnson & Company is a major American manufacturer of infant formula and pediatric nutrition products, best known for brands such as Enfamil.
-
C.
Nestlé Health Science
Nestlé Health Science is a global business unit of Nestlé focused on developing science-based nutritional products and therapies for health management and medical nutrition.
-
D.
Nutren
Nutren is a Nestlé Health Science nutritional supplement brand offering specialized formulas for medical and dietary needs.
-
E.
Playtex
Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
- 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: Abbott Nutrition Triple: [Similac, brandOf, Abbott Nutrition]
Generated description
Abbott Nutrition is a global healthcare company division specializing in science-based nutritional products for infants, children, and adults.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Abbott Nutrition Target entity description: Abbott Nutrition is a global healthcare company division specializing in science-based nutritional products for infants, children, and adults.
-
A.
Nutricia
Nutricia is a Danone-owned brand specializing in medical and early life nutrition products.
-
B.
Mead Johnson & Company
Mead Johnson & Company is a major American manufacturer of infant formula and pediatric nutrition products, best known for brands such as Enfamil.
-
C.
Nestlé Health Science
Nestlé Health Science is a global business unit of Nestlé focused on developing science-based nutritional products and therapies for health management and medical nutrition.
-
D.
Nutren
Nutren is a Nestlé Health Science nutritional supplement brand offering specialized formulas for medical and dietary needs.
-
E.
Playtex
Playtex is a well-known American brand specializing in bras, shapewear, and other intimate apparel products.
- 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_69d381c4aa948190942e1d803143fb0e |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d5099c6a848190bf1d5361e9e61108 |
completed | April 7, 2026, 1:41 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d8dccec72481909bcfb6a9c5df7ba9 |
completed | April 10, 2026, 11:19 a.m. |
| NEDg | Description generation | batch_69d8e8c9d5cc8190a425ed834855bbcd |
completed | April 10, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69d901fecee88190999e88ca2e56a516 |
completed | April 10, 2026, 1:58 p.m. |
Created at: April 6, 2026, 12:25 p.m.