Triple
T10502933
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Similac |
E247714
|
entity |
| Predicate | hasProduct |
P3585
|
FINISHED |
| Object | Similac Go & Grow |
E247714
|
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: Similac Go & Grow | Statement: [Similac, hasProduct, Similac Go & Grow]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Similac Go & Grow Context triple: [Similac, hasProduct, Similac Go & Grow]
-
A.
Similac
chosen
Similac is a widely used brand of infant formula and nutritional products designed to support the growth and development of babies and young children.
-
B.
Aptamil
Aptamil is a popular infant and toddler formula brand known for its nutritionally tailored milk products for early childhood.
-
C.
Enfamil
Enfamil is a widely used brand of infant formula designed to provide balanced nutrition for babies and young children.
-
D.
Nutricia
Nutricia is a Danone-owned brand specializing in medical and early life nutrition products.
-
E.
Nutren
Nutren is a Nestlé Health Science nutritional supplement brand offering specialized formulas for medical and dietary needs.
- 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_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_69dbacad75b8819090657ab4335cebbc |
completed | April 12, 2026, 2:31 p.m. |
Created at: April 6, 2026, 12:25 p.m.