Triple
T23634669
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sara Sambrell |
E583708
|
entity |
| Predicate | surveilledThrough |
P20345
|
FINISHED |
| Object | tablet interface |
—
|
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: tablet interface | Statement: [Sara Sambrell, surveilledThrough, tablet interface]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: surveilledThrough Context triple: [Sara Sambrell, surveilledThrough, tablet interface]
-
A.
surveillanceStrengthenedDuring
Indicates that surveillance measures were intensified or reinforced during a specified time period or event.
-
B.
surveillanceCondition
Indicates the specific circumstances or criteria under which surveillance or monitoring of an entity is required, active, or applicable.
-
C.
monitoredFor
Indicates that one entity is being observed or tracked over time to detect, assess, or manage the occurrence or progression of another entity (such as a condition, event, or risk).
-
D.
observedVia
chosen
Indicates that something is perceived, detected, or measured through a particular medium, instrument, method, or channel.
-
E.
isMonitoredIn
Indicates that an entity is being observed, tracked, or supervised within a particular context, system, or environment.
- 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_69e248fe1c2c8190ac914d2442ff3d26 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b1eb38a481909f7ceeaefb7b43ce |
completed | April 29, 2026, 7:23 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
Created at: April 17, 2026, 6:47 p.m.