Triple
T14955128
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rice Krispies |
E372903
|
entity |
| Predicate | usesSoundEffects |
P47507
|
FINISHED |
| Object | cereal sounds |
—
|
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: cereal sounds | Statement: [Rice Krispies, usesSoundEffects, cereal sounds]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesSoundEffects Context triple: [Rice Krispies, usesSoundEffects, cereal sounds]
-
A.
soundEffects
chosen
Indicates that one entity produces, contains, or is associated with sound effects used to accompany or enhance another entity.
-
B.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
C.
usesSoundDevice
Indicates that one entity operates or relies on a sound-producing or sound-processing device in relation to another entity or context.
-
D.
soundEngine
Indicates that one entity functions as or provides the sound engine (audio processing or synthesis system) used by another entity.
-
E.
hasExperimentalSound
Indicates that something possesses or exhibits an unconventional, innovative, or avant-garde sound quality or style.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cb336c8190b8a55106fa8fc500 |
completed | April 15, 2026, 12:07 a.m. |
| PD | Predicate disambiguation | batch_69de9a588c2c8190b1245a1c406f447c |
completed | April 14, 2026, 7:49 p.m. |
Created at: April 10, 2026, 2:40 a.m.