Triple
T29458420
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sweet 16: Best Featured Verse |
E747163
|
entity |
| Predicate | isAwardedForWorkOn |
P126741
|
FINISHED |
| Object | another artist’s track |
—
|
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: another artist’s track | Statement: [Sweet 16: Best Featured Verse, isAwardedForWorkOn, another artist’s track]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: isAwardedForWorkOn Context triple: [Sweet 16: Best Featured Verse, isAwardedForWorkOn, another artist’s track]
-
A.
awardedForWorkOn
chosen
Indicates that one entity grants an award or recognition to another entity specifically for that entity’s work on a particular project, task, or subject.
-
B.
isAwardedIn
Indicates that an award or honor is given or conferred within a specific event, context, or time frame.
-
C.
hasAwardedWorkType
Indicates that an entity has granted or is associated with a specific type or category of work that has received an award.
-
D.
awardedForActivitiesIn
Indicates that an award or recognition is given to an entity specifically because of activities carried out in a particular field, context, or domain.
-
E.
hasAwardedFieldOfWork
Indicates that an entity has received an award specifically for work or contributions in a particular field or area of activity.
- 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_69f0bd4125f88190b56104591351619c |
completed | April 28, 2026, 1:59 p.m. |
| NER | Named-entity recognition | batch_69f66b6f2dd081909ba15fd7ef7a321b |
completed | May 2, 2026, 9:23 p.m. |
| PD | Predicate disambiguation | batch_69f66339175c819080bd70f0ff7057b1 |
completed | May 2, 2026, 8:48 p.m. |
Created at: April 28, 2026, 3:48 p.m.