Triple
T35422061
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Super Mario World: Super Mario Advance 2 |
E1023821
|
entity |
| Predicate | hasEnhancedSoundComparedTo |
P194493
|
FINISHED |
| Object | Super Mario World |
—
|
NE NERFINISHED |
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: Super Mario World | Statement: [Super Mario World: Super Mario Advance 2, hasEnhancedSoundComparedTo, Super Mario World]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasEnhancedSoundComparedTo Context triple: [Super Mario World: Super Mario Advance 2, hasEnhancedSoundComparedTo, Super Mario World]
-
A.
hasExperimentalSound
Indicates that something possesses or exhibits an unconventional, innovative, or avant-garde sound quality or style.
-
B.
hasStrongerAcousticSound
Indicates that one entity produces a louder or more intense acoustic sound than another entity.
-
C.
hasHeavierSoundThan
Indicates that one entity produces or is associated with a sound that is sonically heavier, more intense, or more forceful than that of another entity.
-
D.
hasSound
Indicates that an entity produces, emits, or is associated with a particular sound.
-
E.
usesSound
Indicates that one entity employs or relies on sound as a means or tool in relation to another entity or context.
- 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_69f76df6704081909900c60be10d5849 |
completed | May 3, 2026, 3:47 p.m. |
| NER | Named-entity recognition | batch_69fd76d1e5208190a6f26651492d1e3c |
completed | May 8, 2026, 5:38 a.m. |
| PD | Predicate disambiguation | batch_69fd702a226c81908edfda00f4be4130 |
completed | May 8, 2026, 5:10 a.m. |
| PDg | Predicate description generation | batch_69fd76d0d7608190b350336d6c18182d |
completed | May 8, 2026, 5:38 a.m. |
Created at: May 3, 2026, 4:03 p.m.