Triple
T2190437
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Tylenol |
E49847
|
entity |
| Predicate | isBrandNameFor |
P24597
|
FINISHED |
| Object | acetaminophen products |
—
|
LITERAL 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: acetaminophen products | Statement: [Tylenol, isBrandNameFor, acetaminophen products]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isBrandNameFor Context triple: [Tylenol, isBrandNameFor, acetaminophen products]
-
A.
brandNameDerivedFrom
Indicates that the brand’s name is derived from, based on, or taken from another specified name or source.
-
B.
parentBrand
Indicates that one brand is the overarching or owning brand from which another brand is derived or subordinated.
-
C.
isTradeNameOf
chosen
Indicates that one name is a commercial or brand designation used for a product, substance, or entity that may also have a different generic or formal name.
-
D.
formerBrand
Indicates that an entity was previously used or recognized as a brand for another entity but is no longer its current brand.
-
E.
tradeNameIncludes
Indicates that a trade name contains another name or term as part of its full designation.
- F. None of above.
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_69a88aaba3c48190b351cab9b26989ff |
completed | March 4, 2026, 7:40 p.m. |
| NER | Named-entity recognition | batch_69abbf9e99f08190892d34485c8f2f25 |
completed | March 7, 2026, 6:03 a.m. |
| PD | Predicate disambiguation | batch_69abbda32d1881909d1fd83a751fb21c |
completed | March 7, 2026, 5:54 a.m. |
Created at: March 4, 2026, 7:46 p.m.