Triple
T12726323
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rapperholic concert series |
E304116
|
entity |
| Predicate | headlinerOccupation |
P50979
|
FINISHED |
| Object | rapper |
—
|
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: rapper | Statement: [Rapperholic concert series, headlinerOccupation, rapper]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: headlinerOccupation Context triple: [Rapperholic concert series, headlinerOccupation, rapper]
-
A.
artistOccupation
Indicates the professional role or job that an artist holds or performs.
-
B.
headlinedBy
Indicates that something (such as an event, show, or publication) is led, featured, or given top billing by a particular main performer, act, or entity.
-
C.
hasMainPerformerOccupation
chosen
Indicates that an entity’s primary or main performer is associated with a specified occupation or professional role.
-
D.
namedPersonOccupation
Indicates that a person is explicitly identified as having a particular occupation or job role.
-
E.
presenterOccupation
Indicates that an entity serves in a specific professional role or job as a presenter.
- 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_69d7bdf084148190ab9d513dc0735af4 |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96d89ea70819098c470344f172167 |
completed | April 10, 2026, 9:37 p.m. |
| PD | Predicate disambiguation | batch_69d96403957c81909acdee7bdae71696 |
completed | April 10, 2026, 8:56 p.m. |
Created at: April 9, 2026, 5:25 p.m.