Triple
T29458491
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Hip Hop Award |
E747165
|
entity |
| Predicate | awardedForWorkInField |
P36199
|
FINISHED |
| Object | 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: music | Statement: [I Am Hip Hop Award, awardedForWorkInField, music]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: awardedForWorkInField Context triple: [I Am Hip Hop Award, awardedForWorkInField, music]
-
A.
hasAwardedFieldOfWork
chosen
Indicates that an entity has received an award specifically for work or contributions in a particular field or area of activity.
-
B.
awardedForWorkOn
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.
-
C.
workedForPublication
Indicates that an entity was employed by or contributed work to a particular publication (such as a newspaper, magazine, or journal).
-
D.
relatedWorkField
Indicates that one work is associated with or pertains to the same or a relevant field, discipline, or area of activity as another work.
-
E.
awardContributedTo
Indicates that an entity played a role or made a contribution that helped lead to a particular award or recognition being granted.
- 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_69f760a35b988190904e6267553ad2fe |
completed | May 3, 2026, 2:50 p.m. |
| PD | Predicate disambiguation | batch_69f75eb3d6f081908c933474eb359e3d |
completed | May 3, 2026, 2:41 p.m. |
Created at: April 28, 2026, 3:48 p.m.