Triple
T33267145
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Close to Me |
E851681
|
entity |
| Predicate | hasCatchyMelodies |
P111099
|
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: [Close to Me, hasCatchyMelodies, true]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasCatchyMelodies Context triple: [Close to Me, hasCatchyMelodies, true]
-
A.
hasMelody
Indicates that one entity possesses, contains, or is characterized by a particular melody.
-
B.
isCatchy
Indicates that something (such as a phrase, tune, or slogan) is memorable and easily sticks in the mind.
-
C.
hasMoreMelodicSoundThan
Indicates that the sound produced by one entity is judged to be more melodic, tuneful, or musically pleasing than the sound produced by another entity.
-
D.
hasCatchySound
chosen
Indicates that something possesses an appealing, memorable, or attractive auditory quality.
-
E.
hasMusical
Indicates that one entity features, includes, or is associated with a musical work, performance, or musical component.
- 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_69f349642dac81908a37ffcc3b976a55 |
completed | April 30, 2026, 12:21 p.m. |
| NER | Named-entity recognition | batch_69ff1ba8694481909ceb36f26ca85612 |
completed | May 9, 2026, 11:34 a.m. |
| PD | Predicate disambiguation | batch_69ff1b27f0f08190a9e74308c5b3d1ba |
completed | May 9, 2026, 11:31 a.m. |
Created at: May 1, 2026, 1:32 a.m.