Triple
T16039798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Paula Braun |
E389063
|
entity |
| Predicate | employer |
P7
|
FINISHED |
| Object | CDC |
unclear NED1
|
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: CDC | Statement: [Paula Braun, employer, CDC]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: CDC Context triple: [Paula Braun, employer, CDC]
-
A.
CDC
CDC is a Microsoft-developed technology that defines standardized communication protocols and configuration models for connected devices, particularly in Windows environments.
-
B.
CDC
CDC is a core Microsoft Foundation Class (MFC) C++ class that encapsulates Windows device context drawing operations for graphics and text output.
-
C.
CDC
The IEEE Conference on Decision and Control (CDC) is a premier annual international research conference focused on the theory and applications of systems, control, and automation.
-
D.
CDC
CDC is the French public financial institution Caisse des Dépôts et Consignations, which manages long-term investments and supports public-interest projects.
-
E.
CDC
The U.S. Army Combat Developments Command was a major Army organization responsible for analyzing future warfare needs and developing concepts, doctrine, and requirements for new weapons and equipment during the Cold War era.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide. chosen
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_69d86dada3808190825d5f80d72fbe88 |
completed | April 10, 2026, 3:25 a.m. |
| NER | Named-entity recognition | batch_69e1833f84188190baa3a452df880284 |
completed | April 17, 2026, 12:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ffdbd77c5481908644742a8a8f3e68 |
completed | May 10, 2026, 1:13 a.m. |
Created at: April 10, 2026, 4:56 a.m.