Triple
T14410310
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Derek Wise |
E357304
|
entity |
| Predicate | associatedAct |
P37
|
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: [Derek Wise, associatedAct, 88Glam]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 88Glam Context triple: [Derek Wise, associatedAct, 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.
88Glam (duo)
88Glam is a Canadian hip hop duo known for their dark, atmospheric trap sound and affiliation with Toronto’s contemporary rap scene.
-
C.
GAGA
GAGA (Géométrie Algébrique et Géométrie Analytique) is a foundational theory in mathematics, developed by Jean-Pierre Serre, that establishes deep connections between algebraic geometry and complex analytic geometry.
-
D.
Glamour
Glamour is a popular international women's magazine known for its coverage of fashion, beauty, lifestyle, and celebrity culture.
-
E.
Glam Slam
"Glam Slam" is a funk-infused pop song by Prince, released in 1988 as a single from his album Lovesexy.
- 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_69d82793421c8190861eb0e673b085de |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de90c9b3448190aec1608836a5e913 |
completed | April 14, 2026, 7:08 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd6485d4c48190ac67fd43834aa803 |
completed | May 8, 2026, 4:20 a.m. |
Created at: April 10, 2026, 1:17 a.m.