Triple
T21611240
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Kiss Me |
E533312
|
entity |
| Predicate | isCatchy |
P144776
|
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: [Kiss Me, isCatchy, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isCatchy Context triple: [Kiss Me, isCatchy, true]
-
A.
isPopularSong
Indicates that a song is widely liked, well-known, or frequently listened to by many people.
-
B.
isPopularSongOf
Indicates that a song is widely liked, well-known, or frequently enjoyed in relation to a particular entity (such as an artist, album, or context).
-
C.
isPopularSongFor
Indicates that a song is widely liked, well-known, or frequently chosen by a particular audience, group, or context.
-
D.
isPopularSongFrom
Indicates that a song is widely liked, well-known, or frequently played and originates from a particular source, such as an artist, album, or media work.
-
E.
isLoveSong
Indicates that a song’s primary theme or content centers on romantic love or affectionate emotional relationships.
- 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_69e0c46411108190bba0d4176dffc9f3 |
completed | April 16, 2026, 11:13 a.m. |
| NER | Named-entity recognition | batch_69ef17e88f7081909371bc0de2147609 |
completed | April 27, 2026, 8:01 a.m. |
| PD | Predicate disambiguation | batch_69e69665fe8c8190af7e38785db188b2 |
completed | April 20, 2026, 9:11 p.m. |
| PDg | Predicate description generation | batch_69e69b4aa2b48190830107391e81571a |
completed | April 20, 2026, 9:31 p.m. |
Created at: April 16, 2026, 6:33 p.m.