Triple
T23610832
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Opposites Attract |
E583031
|
entity |
| Predicate | musicVideoCharacterName |
P153270
|
FINISHED |
| Object | MC Skat Kat |
—
|
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: MC Skat Kat | Statement: [Opposites Attract, musicVideoCharacterName, MC Skat Kat]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: musicVideoCharacterName Context triple: [Opposites Attract, musicVideoCharacterName, MC Skat Kat]
-
A.
musicVideoCameo
Indicates that one entity makes a brief or special-appearance role in the other entity’s music video.
-
B.
musicVideoDirector
Indicates that one entity is the director responsible for creating or overseeing the production of the other entity, which is a music video.
-
C.
musicVideoFrom
Indicates that a music video originates from, is derived from, or is associated with a particular source work or entity.
-
D.
musicVideoFor
Indicates that one entity is a music video created to accompany, represent, or promote another entity, typically a song or musical work.
-
E.
hasMusicVideoCharacteristic
Indicates that a music video possesses a specific attribute, feature, or quality.
- 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_69e248fbcd9081908ba08913f9d30826 |
completed | April 17, 2026, 2:51 p.m. |
| NER | Named-entity recognition | batch_69f1b0f4606881908207114c5bcfe6a6 |
completed | April 29, 2026, 7:19 a.m. |
| PD | Predicate disambiguation | batch_69f118d0e0588190a86527a7747c5427 |
completed | April 28, 2026, 8:30 p.m. |
| PDg | Predicate description generation | batch_69f138b8c9248190b059bc38a9a50958 |
completed | April 28, 2026, 10:46 p.m. |
Created at: April 17, 2026, 6:44 p.m.