Triple
T8119141
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sick To My Stomach |
E189558
|
entity |
| Predicate | isInGenreOfArtistCareer |
P81374
|
FINISHED |
| Object | pop music phase of Rebecca Black |
—
|
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: pop music phase of Rebecca Black | Statement: [Sick To My Stomach, isInGenreOfArtistCareer, pop music phase of Rebecca Black]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isInGenreOfArtistCareer Context triple: [Sick To My Stomach, isInGenreOfArtistCareer, pop music phase of Rebecca Black]
-
A.
hasArtistGenre
Indicates that an artist is associated with or categorized under a particular musical or artistic genre.
-
B.
hasGenreArtist
Indicates that an artist is associated with or specializes in a particular genre.
-
C.
genreOfAssociatedPerson
Indicates that a particular genre is associated with a given person, such as an artist, author, or performer.
-
D.
hasGenreInRoles
Indicates that an entity participates in roles associated with a particular genre or set of genres.
-
E.
hasGenrePeriod
Indicates a relationship where an entity is associated with a specific historical or stylistic period that characterizes its genre.
- 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_69ca82baad008190ab2859712b9b1607 |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb4664fef881908b0dc7b158aca398 |
completed | March 31, 2026, 3:58 a.m. |
| PD | Predicate disambiguation | batch_69cb368e7f4c81909aabd7716f0de79d |
completed | March 31, 2026, 2:50 a.m. |
| PDg | Predicate description generation | batch_69cb46635424819085d086972b264280 |
completed | March 31, 2026, 3:58 a.m. |
Created at: March 30, 2026, 5:33 p.m.