Triple
T15441825
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toymaker |
E369921
|
entity |
| Predicate | traps |
P63987
|
FINISHED |
| Object | players inside his virtual reality world |
—
|
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: players inside his virtual reality world | Statement: [Toymaker, traps, players inside his virtual reality world]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: traps Context triple: [Toymaker, traps, players inside his virtual reality world]
-
A.
trap
chosen
Indicates that an entity captures, confines, or ensnares another entity, typically preventing its escape or movement.
-
B.
trapType
Indicates the specific kind or category of trap associated with an entity or situation.
-
C.
trappedIn
Indicates that one entity is confined or caught within another entity or bounded space, unable to leave freely.
-
D.
catches
Indicates that one entity successfully seizes, intercepts, or takes hold of another entity, often stopping its motion or preventing its escape.
-
E.
trapTrigger
Indicates that an entity activates or sets off a trap in the 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03ef55f5c8190a32b1b6ad1daf454 |
completed | April 16, 2026, 1:44 a.m. |
| PD | Predicate disambiguation | batch_69ded28276f481908c2038bb301e57cf |
completed | April 14, 2026, 11:49 p.m. |
Created at: April 10, 2026, 3:21 a.m.