Triple
T11074616
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ruxience |
E261831
|
entity |
| Predicate | isBiosimilarTo |
P37220
|
FINISHED |
| Object | MabThera |
E238179
|
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: MabThera | Statement: [Ruxience, isBiosimilarTo, MabThera]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: MabThera Context triple: [Ruxience, isBiosimilarTo, MabThera]
-
A.
MabThera
chosen
MabThera is Roche’s brand name for rituximab, a monoclonal antibody used primarily to treat certain types of blood cancers and autoimmune diseases.
-
B.
Morella
Morella is a historic walled hilltop town in eastern Spain renowned for its medieval castle and well-preserved old quarter.
-
C.
Zabivaka
Zabivaka is the wolf character that served as the official mascot for major international football tournaments hosted by Russia, including the 2018 FIFA World Cup.
-
D.
Xombi
Xombi is a Milestone Media comic book series that follows an immortal, nanotechnology-enhanced man battling supernatural and horror-themed threats.
-
E.
Rougarou
Rougarou is a floorless steel roller coaster at Cedar Point known for its intense inversions and smooth, high-speed ride experience.
- 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_69d6aa9983c08190b0ef61603b69feac |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d7994efb608190a81bc8c4d16ddbd0 |
completed | April 9, 2026, 12:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3c8cc77988190aad54f56dbd0f8cf |
completed | April 18, 2026, 6:09 p.m. |
Created at: April 8, 2026, 9:26 p.m.