Triple
T19157588
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | maftivimab |
E468964
|
entity |
| Predicate | partOf |
P40
|
FINISHED |
| Object | Inmazeb |
—
|
NE NERFINISHED |
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: Inmazeb | Statement: [maftivimab, partOf, Inmazeb]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Inmazeb Context triple: [maftivimab, partOf, Inmazeb]
-
A.
Inmazeb
chosen
Inmazeb is an FDA-approved monoclonal antibody cocktail used to treat infections caused by Zaire ebolavirus.
-
B.
Imzouren
Imzouren is a town in northern Morocco’s Rif region, situated near the Mediterranean coast close to the city of Al Hoceima.
-
C.
Mazirbe
Mazirbe is a coastal village in Latvia known as a historic cultural hub of the Livonian people and their language.
-
D.
Ombeyajts
Ombeyajts is an alternative name for the Huave language variety spoken in the community of San Dionisio del Mar in Oaxaca, Mexico.
-
E.
Yantzaza
Yantzaza is a town in southeastern Ecuador that serves as an administrative and commercial center in the Zamora-Chinchipe Province.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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_69d8dd084ff48190ac0f8c46ee722629 |
completed | April 10, 2026, 11:20 a.m. |
| NER | Named-entity recognition | batch_69e5eeba91a081909c04d61d6117da06 |
completed | April 20, 2026, 9:15 a.m. |
Created at: April 10, 2026, 12:06 p.m.