Triple
T37788065
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | PlayStation Camera adapter for USB |
E942009
|
entity |
| Predicate | hasTargetUsers |
P158607
|
FINISHED |
| Object | PlayStation VR owners upgrading consoles |
—
|
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: PlayStation VR owners upgrading consoles | Statement: [PlayStation Camera adapter for USB, hasTargetUsers, PlayStation VR owners upgrading consoles]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasTargetUsers Context triple: [PlayStation Camera adapter for USB, hasTargetUsers, PlayStation VR owners upgrading consoles]
-
A.
hasUsers
chosen
Indicates that an entity is associated with one or more users who use, own, or are linked to it.
-
B.
hasTarget
Indicates that one entity is directed toward, aimed at, or intended to affect another specific entity as its target.
-
C.
hasTargetCommunity
Indicates that something is specifically intended for, directed toward, or designed to serve a particular community or group.
-
D.
usesTarget
Indicates that one entity employs, applies, or operates on another entity as its target or object of action.
-
E.
hasTargetVisitors
Indicates that something is intended or designed to be visited by a specific group of people as its primary audience or users.
- 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_69f76ee5cb0c81909a363d1c929156c0 |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69fcc4b700748190ae00b21d09c96695 |
completed | May 7, 2026, 4:58 p.m. |
| PD | Predicate disambiguation | batch_69fcb0f9d3d881908a049475182fb039 |
completed | May 7, 2026, 3:34 p.m. |
Created at: May 3, 2026, 4:19 p.m.