Triple
T32802584
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisses |
E838934
|
entity |
| Predicate | hasInterconnectedMusicVideos |
P200819
|
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: [Kisses, hasInterconnectedMusicVideos, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasInterconnectedMusicVideos Context triple: [Kisses, hasInterconnectedMusicVideos, true]
-
A.
hasMusicVideo
Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
-
B.
hasViralMusicVideo
Indicates that an entity possesses or is associated with a music video that has achieved viral popularity or widespread online circulation.
-
C.
hasFictionalMusicVideo
Indicates that a subject has an associated music video that exists only within a fictional or narrative context, rather than as a real-world production.
-
D.
hasMusicVideoCharacteristic
Indicates that a music video possesses a specific attribute, feature, or quality.
-
E.
hasMusicVideoPerformer
Indicates that a music video features a specific performer appearing or performing in it.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ffb1218cb08190a814c7f0833501a7 |
completed | May 9, 2026, 10:11 p.m. |
| PD | Predicate disambiguation | batch_69ffb083d6988190b2757e0cfd629b75 |
completed | May 9, 2026, 10:09 p.m. |
| PDg | Predicate description generation | batch_69ffb120b9988190b6361c69265033c0 |
completed | May 9, 2026, 10:11 p.m. |
Created at: May 1, 2026, 1:15 a.m.