Triple
T13059098
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Views |
E329154
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object | Pop Style |
E968642
|
NE 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: Pop Style | Statement: [Views, hasPart, Pop Style]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pop Style Context triple: [Views, hasPart, Pop Style]
-
A.
Pop Style
chosen
"Pop Style" is a hip-hop-influenced track by Drake, originally featuring contributions from Kanye West and Jay-Z, released on his 2016 album *Views*.
-
B.
Pop Life
Pop Life is a dance-pop and electronic album by French DJ and producer David Guetta that helped solidify his rise in the international club and mainstream music scenes.
-
C.
Pop Life
"Pop Life" is a funk-infused pop song by Prince, known for its catchy groove and introspective lyrics about fame and excess.
-
D.
Pop
Pop is an American cable television network known for airing entertainment programming including reruns, original series, and special events.
-
E.
Pop
Pop is the professional nickname of Andrew "Pop" Wansel, an American record producer and songwriter known for his work in contemporary R&B and hip-hop music.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980be37208190962e91f1e19df159 |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6cbe0bf3081909ff498ac66cb2aa6 |
completed | May 3, 2026, 4:15 a.m. |
Created at: April 9, 2026, 8:58 p.m.