Triple
T33205363
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | infliximab-dyyb |
E850004
|
entity |
| Predicate | hasNonproprietaryName |
P24556
|
FINISHED |
| Object | infliximab-dyyb |
—
|
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: infliximab-dyyb | Statement: [infliximab-dyyb, hasNonproprietaryName, infliximab-dyyb]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasNonproprietaryName Context triple: [infliximab-dyyb, hasNonproprietaryName, infliximab-dyyb]
-
A.
hasProperName
Indicates that an entity is associated with a specific proper name used to uniquely identify it.
-
B.
hasTradeName
Indicates that a product, substance, or entity is known or marketed under a specific commercial or brand name.
-
C.
hasInternationalNonproprietaryName
chosen
Indicates that an entity (typically a pharmaceutical substance) is designated by a specific International Nonproprietary Name (INN) as its standardized generic name.
-
D.
isTradeNameOf
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.
-
E.
hasNoWidelyUsedLocalName
Indicates that the entity does not have a commonly used or widely recognized name in the local language or region.
- 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_69f3495efedc8190843a5728089544b9 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_6a01926e2f348190a632eff5c91db5e0 |
completed | May 11, 2026, 8:25 a.m. |
| PD | Predicate disambiguation | batch_6a01923488f4819094d79a27f4bc8ab8 |
completed | May 11, 2026, 8:24 a.m. |
Created at: May 1, 2026, 1:30 a.m.