Triple
T21570454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | CPC464 |
E532267
|
entity |
| Predicate | standardMonitor |
P79884
|
FINISHED |
| Object | GT64 green-screen monitor |
—
|
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: GT64 green-screen monitor | Statement: [CPC464, standardMonitor, GT64 green-screen monitor]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: standardMonitor Context triple: [CPC464, standardMonitor, GT64 green-screen monitor]
-
A.
typicalMonitor
Indicates that one entity commonly or characteristically monitors, observes, or oversees another entity in a usual or expected manner.
-
B.
monitors
Indicates that one entity observes, tracks, or checks the state, behavior, or performance of another entity over time.
-
C.
monitorsMedium
Indicates that one entity observes, tracks, or supervises the state or activity of a particular medium (such as a channel, platform, or communication medium).
-
D.
pairedMonitorType
Indicates that one monitor is associated with or linked to another monitor of a specified type as its pair.
-
E.
supportsMonochromeMonitor
chosen
Indicates that one entity is capable of operating with, driving, or is compatible with a monochrome (single-color) monitor.
- 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_69e0c460db088190828c64206a450273 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69eee9cc5c448190887a836f577d01ba |
completed | April 27, 2026, 4:45 a.m. |
| PD | Predicate disambiguation | batch_69e6320c8c2c81908bf031447d66a052 |
completed | April 20, 2026, 2:02 p.m. |
Created at: April 16, 2026, 6:30 p.m.