Triple
T29024216
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Hardwell |
E737541
|
entity |
| Predicate | DJMagTop100DJsYear |
P166284
|
FINISHED |
| Object | 2013 |
—
|
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: 2013 | Statement: [Hardwell, DJMagTop100DJsYear, 2013]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: DJMagTop100DJsYear Context triple: [Hardwell, DJMagTop100DJsYear, 2013]
-
A.
numberOfTimesVotedWorldsNo1DJByDJMag
Indicates the number of times an entity has been voted the world’s No. 1 DJ in the DJ Mag rankings.
-
B.
notableDJ
Indicates that the subject is recognized as a distinguished or prominent disc jockey (DJ), known for their impact or reputation in the field.
-
C.
featuresDJ
Indicates that an entity includes or presents a DJ as part of its offering or composition.
-
D.
notableDJAssociated
Indicates that there is a notable DJ who is associated with, or prominently linked to, the given entity.
-
E.
enteredBillboardHot100Top10Year
Indicates that an entity (typically a song or artist) reached the top 10 positions of the Billboard Hot 100 chart in a specified year.
- 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_69f077ef00fc81909325f084ad37c035 |
completed | April 28, 2026, 9:03 a.m. |
| NER | Named-entity recognition | batch_69f66007a5d8819085fcc6651a89a189 |
completed | May 2, 2026, 8:35 p.m. |
| PD | Predicate disambiguation | batch_69f65c2376a08190be5215171e908e69 |
completed | May 2, 2026, 8:18 p.m. |
| PDg | Predicate description generation | batch_69f65f75ac608190a62cd6afce14f68e |
completed | May 2, 2026, 8:32 p.m. |
Created at: April 28, 2026, 9:51 a.m.