Triple
T8632721
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Advanced Graphics Architecture |
E204440
|
entity |
| Predicate | roleOfPaula |
P84350
|
FINISHED |
| Object | audio and I/O controller |
—
|
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: audio and I/O controller | Statement: [Advanced Graphics Architecture, roleOfPaula, audio and I/O controller]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleOfPaula Context triple: [Advanced Graphics Architecture, roleOfPaula, audio and I/O controller]
-
A.
roleOfJennifer Morris
Indicates that Jennifer Morris holds or performs a particular role, position, or function in relation to another entity or context.
-
B.
roleOfPatriceWilson
Indicates that Patrice Wilson serves in a particular role or capacity in relation to another entity.
-
C.
MarilynMonroeRoleType
Indicates the type or category of role associated with Marilyn Monroe in a given context.
-
D.
depictsPersonRole
Indicates that an image or representation shows a person in a specific role, function, or capacity.
-
E.
stagePersonaOf
Indicates a relationship where one entity is the staged or performed persona, role, or character representation of another entity.
- F. None of above. chosen
Provenance (4 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_69ca834b903c8190add96cc651e1a477 |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc47944d1c819081f448f14d04bf9d |
completed | March 31, 2026, 10:15 p.m. |
| PD | Predicate disambiguation | batch_69cc455d6d448190a2da2a319ac78c37 |
completed | March 31, 2026, 10:06 p.m. |
| PDg | Predicate description generation | batch_69cc479284a8819099b0b0d879af3372 |
completed | March 31, 2026, 10:15 p.m. |
Created at: March 30, 2026, 6:27 p.m.