Triple
T28610498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | TCG (Tiny Code Generator) |
E724156
|
entity |
| Predicate | roleInQEMU |
P43915
|
FINISHED |
| Object | core translation engine between guest and host |
—
|
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: core translation engine between guest and host | Statement: [TCG (Tiny Code Generator), roleInQEMU, core translation engine between guest and host]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInQEMU Context triple: [TCG (Tiny Code Generator), roleInQEMU, core translation engine between guest and host]
-
A.
roleInVirtualBox
Indicates that an entity holds a specific role or function within a virtualized environment or virtual machine context.
-
B.
roleInSSH
Indicates that an entity holds a specific role or function within an SSH (Secure Shell) connection or session.
-
C.
roleInTeamViewer
Indicates the specific function, position, or responsibility an entity holds within a TeamViewer-related team or collaborative setup.
-
D.
roleInMCU
Indicates that one entity portrays or has a specific character role within the Marvel Cinematic Universe in relation to the other entity.
-
E.
roleInEngine
chosen
Indicates the specific function or responsibility an entity has within an engine or engine-like system.
- 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_69f01d816d7c8190a1fe27e3434041dc |
completed | April 28, 2026, 2:37 a.m. |
| NER | Named-entity recognition | batch_69fe766490c081908c49c8cc07d0ae9b |
completed | May 8, 2026, 11:48 p.m. |
| PD | Predicate disambiguation | batch_69fe75bb5f4481908572a5ffcbdc5154 |
completed | May 8, 2026, 11:46 p.m. |
Created at: April 28, 2026, 4:29 a.m.