Triple
T20436311
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Thank You |
E501258
|
entity |
| Predicate | featuresMoreMatureSound |
P81371
|
FINISHED |
| Object | true |
—
|
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: true | Statement: [Thank You, featuresMoreMatureSound, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: featuresMoreMatureSound Context triple: [Thank You, featuresMoreMatureSound, true]
-
A.
hasMatureSound
Indicates that an entity produces or is associated with a sound quality characteristic of adulthood or full development, as opposed to a youthful or immature sound.
-
B.
featuresMusicVideoNudity
Indicates that the music video contains depictions of nudity.
-
C.
hasMatureSoundComparedTo
chosen
Indicates that one entity’s sound is considered more mature or developed in quality when compared to another entity’s sound.
-
D.
containsSound
Indicates that one entity includes, embodies, or produces the sound associated with another entity.
-
E.
containsAdultContent
Indicates that the referenced item includes material intended for adults, such as explicit sexual, violent, or otherwise age-restricted content.
- 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_69e0b4ab3cfc8190ac9bf32e932316b1 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e685ef5fc8819089e3f97a63a52f86 |
completed | April 20, 2026, 8 p.m. |
| PD | Predicate disambiguation | batch_69e5766df0008190a73c4f613c29678f |
completed | April 20, 2026, 12:42 a.m. |
Created at: April 16, 2026, 11:31 a.m.