Triple
T29677857
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mo Bamba |
E750864
|
entity |
| Predicate | songSubjectOf |
P36336
|
FINISHED |
| Object | Mo Bamba (song) |
—
|
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: Mo Bamba (song) | Statement: [Mo Bamba, songSubjectOf, Mo Bamba (song)]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: songSubjectOf Context triple: [Mo Bamba, songSubjectOf, Mo Bamba (song)]
-
A.
songAbout
chosen
Indicates that one entity (typically a song) has content, lyrics, or themes that are focused on, describe, or are dedicated to another entity.
-
B.
singsAbout
Indicates that one entity performs a song whose subject or theme is another entity.
-
C.
songType
Indicates the specific category or genre that a given song belongs to.
-
D.
songMadeFamousBy
Indicates that a song became widely known or popular primarily through the performance, recording, or promotion of a particular artist or group.
-
E.
notableSongAssociations
Indicates that there are notable or significant associations between an entity and specific songs, such as being referenced by, inspiring, or otherwise prominently linked to those songs.
- 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_69f0d624d7b08190ba237d226f78d0d9 |
completed | April 28, 2026, 3:45 p.m. |
| NER | Named-entity recognition | batch_69f6725f965c81909c66601bf11c5fdc |
completed | May 2, 2026, 9:53 p.m. |
| PD | Predicate disambiguation | batch_69f6659f246081909821c5f452d14e8f |
completed | May 2, 2026, 8:59 p.m. |
Created at: April 28, 2026, 7:08 p.m.