Triple
T6889586
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Christof |
E159010
|
entity |
| Predicate | watchesVia |
P73965
|
FINISHED |
| Object | hidden cameras |
—
|
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: hidden cameras | Statement: [Christof, watchesVia, hidden cameras]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: watchesVia Context triple: [Christof, watchesVia, hidden cameras]
-
A.
watchType
Indicates the type or category of watching activity or viewing behavior associated with an entity.
-
B.
watchMovementType
Indicates the type of mechanical or electronic movement mechanism that drives how a watch operates.
-
C.
wearableBy
Indicates that one entity is designed or suitable to be worn on the body by another entity.
-
D.
clockShows
Indicates that a clock displays or presents a particular time or temporal value.
-
E.
wears
Indicates that one entity is dressed in, or has on its body, a particular item such as clothing or accessories.
- 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_69c6883568c8819081db6407e892cccc |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6d9117c84819093dad7b765337b63 |
completed | March 27, 2026, 7:22 p.m. |
| PD | Predicate disambiguation | batch_69c6d7b53e9881909ec298daa9f1913b |
completed | March 27, 2026, 7:17 p.m. |
| PDg | Predicate description generation | batch_69c6d8c48ba48190b8d3aa7b8d22816b |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 2:23 p.m.