Triple
T23186632
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | REGN |
E579608
|
entity |
| Predicate | hasUnderlyingCompanyRAndDFocus |
P6749
|
FINISHED |
| Object | monoclonal antibodies |
—
|
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: monoclonal antibodies | Statement: [REGN, hasUnderlyingCompanyRAndDFocus, monoclonal antibodies]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasUnderlyingCompanyRAndDFocus Context triple: [REGN, hasUnderlyingCompanyRAndDFocus, monoclonal antibodies]
-
A.
underlyingCompanyBusinessFocus
chosen
Indicates the primary industry, sector, or type of business activity that the underlying company is focused on.
-
B.
hasUnderlyingCompanyOperationsIn
Indicates that a company’s core or foundational business activities take place within a specified geographic location or jurisdiction.
-
C.
hasUnderlyingCompanyBusinessModel
Indicates that one entity possesses or is based on a specific company business model that underlies its structure, operations, or value creation.
-
D.
underlyingCompany
Indicates that one entity serves as the fundamental or base company upon which another entity (such as a product, instrument, or structure) is built, derived, or dependent.
-
E.
hasUnderlyingCompanyWellKnownFor
Indicates that an entity is associated with an underlying company that is widely recognized or notable.
- 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_69e245ff8000819090d12008805315b7 |
completed | April 17, 2026, 2:38 p.m. |
| NER | Named-entity recognition | batch_69f18fd3aaa08190b9cf7afe4ee5a38d |
completed | April 29, 2026, 4:57 a.m. |
| PD | Predicate disambiguation | batch_69ef8a041c0081909afb670d17a5aaba |
completed | April 27, 2026, 4:08 p.m. |
Created at: April 17, 2026, 4:05 p.m.