Triple
T3432512
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | XO Records |
E72370
|
entity |
| Predicate | notableArtist |
P601
|
FINISHED |
| Object | 88Glam |
E341185
|
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: 88Glam | Statement: [XO Records, notableArtist, 88Glam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 88Glam Context triple: [XO Records, notableArtist, 88Glam]
-
A.
88Glam
chosen
88Glam is a Canadian hip hop duo known for their atmospheric trap sound and collaborations within Toronto’s rap scene.
-
B.
Glamour
Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
-
C.
GLOWED UP
"GLOWED UP" is a hip-hop/electronic track by rapper Anderson .Paak produced by Canadian DJ and producer KAYTRANADA, known for its smooth groove and soulful, danceable vibe.
-
D.
Glam
"Glam" is a track from Christina Aguilera's album *Bionic*, known for its fashion-themed lyrics and electro-pop production.
-
E.
Glitz
Glitz is a crime novel by Elmore Leonard that follows a tough Miami cop entangled with a vengeful ex-con and the seedy underworld of Atlantic City.
- 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_69ad85ae14308190bcbc25cfa0246c0b |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb9c077d48190bee40795cab3e422 |
completed | March 8, 2026, 6:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b3547d3f4c8190bc6811398bd8f080 |
completed | March 13, 2026, 12:04 a.m. |
Created at: March 8, 2026, 3:15 p.m.