Triple
T32802583
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kisses |
E838934
|
entity |
| Predicate | hasMusicVideoForEveryTrack |
P147111
|
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, hasMusicVideoForEveryTrack, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMusicVideoForEveryTrack Context triple: [Kisses, hasMusicVideoForEveryTrack, true]
-
A.
hasMusicVideoForEverySong
chosen
Indicates that for each song in a given collection or repertoire, there exists a corresponding music video.
-
B.
hasMusicVideo
Indicates that a piece of media (typically a song) is associated with or accompanied by a music video.
-
C.
hasMusicVideoCharacteristic
Indicates that a music video possesses a specific attribute, feature, or quality.
-
D.
hasMusicVideoPerformer
Indicates that a music video features a specific performer appearing or performing in it.
-
E.
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.
- 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_69f3493d35208190b4351b4e85f2fa16 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69fd5d48855c8190bd93070b6a00d8b5 |
completed | May 8, 2026, 3:49 a.m. |
| PD | Predicate disambiguation | batch_69fd5c9aabb88190912800d90184a89d |
completed | May 8, 2026, 3:46 a.m. |
Created at: May 1, 2026, 1:15 a.m.