Triple
T20165305
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | NES Zapper |
E491811
|
entity |
| Predicate | reasonForColorChange |
P44865
|
FINISHED |
| Object | toy gun safety regulations in the United States |
—
|
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: toy gun safety regulations in the United States | Statement: [NES Zapper, reasonForColorChange, toy gun safety regulations in the United States]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: reasonForColorChange Context triple: [NES Zapper, reasonForColorChange, toy gun safety regulations in the United States]
-
A.
reasonForChange
Indicates that one entity serves as the cause, justification, or motivation for a modification or change in another entity or state.
-
B.
typicalColorChange
chosen
Indicates a characteristic or commonly observed change in color that an entity undergoes under normal or expected conditions.
-
C.
changeReason
Indicates the reason or justification for a modification or change made to an entity or its state.
-
D.
colorationCause
Indicates that one entity is the cause or source of the coloration observed in another entity.
-
E.
jerseyColorReason
Indicates the reason or basis for why an entity has a particular jersey color.
- 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_69da6266c6888190bc1a3ecf24814d34 |
completed | April 11, 2026, 3:01 p.m. |
| NER | Named-entity recognition | batch_69e668442d2c81908bb1a0fac9895b5e |
completed | April 20, 2026, 5:54 p.m. |
| PD | Predicate disambiguation | batch_69e55b0c11cc8190836d1eee5945f000 |
completed | April 19, 2026, 10:45 p.m. |
Created at: April 11, 2026, 11:35 p.m.