Triple
T523610
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Common Sense |
E10869
|
entity |
| Predicate | creativeWorkGenre |
P14
|
FINISHED |
| Object | politically conscious music |
—
|
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: politically conscious music | Statement: [Common Sense, creativeWorkGenre, politically conscious music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: creativeWorkGenre Context triple: [Common Sense, creativeWorkGenre, politically conscious music]
-
A.
genre
chosen
Indicates the artistic or thematic category to which a work (such as a book, film, or song) belongs.
-
B.
notableWorkGenre
Indicates that a particular work is recognized as notable for an entity and specifies the genre to which that work belongs.
-
C.
genreFeatures
Indicates that a particular genre is characterized or defined by certain features or attributes.
-
D.
genreOfAwards
Indicates the type or category of awards associated with a given work, event, or entity.
-
E.
workedOnGenre
Indicates that an entity (such as a person or organization) has done work related to a particular genre.
- 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_69a2e84b16c4819088d284c47c3a7968 |
completed | Feb. 28, 2026, 1:06 p.m. |
| NER | Named-entity recognition | batch_69a2f1b4f01881908b408357ff113308 |
completed | Feb. 28, 2026, 1:46 p.m. |
| PD | Predicate disambiguation | batch_69a2f018129c81909494450fcba71b59 |
completed | Feb. 28, 2026, 1:39 p.m. |
Created at: Feb. 28, 2026, 1:12 p.m.