Triple
T1628033
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | My Name Is My Name |
E35189
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Boogz & Tapez |
E184949
|
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: Boogz & Tapez | Statement: [My Name Is My Name, producer, Boogz & Tapez]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Boogz & Tapez Context triple: [My Name Is My Name, producer, Boogz & Tapez]
-
A.
Boogz & Tapez
chosen
Boogz & Tapez are a hip-hop production duo known for their work with Kanye West’s G.O.O.D. Music collective, contributing to the label’s distinctive sound in the early 2010s.
-
B.
The Buds
The Buds is a popular nickname for the Toronto Maple Leafs, the historic NHL franchise based in Toronto, Ontario.
-
C.
Ratatat
Ratatat is an American electronic rock duo known for their guitar-driven instrumentals and influential collaborations in hip hop and indie music.
-
D.
Dust a Sound Boy
"Dust a Sound Boy" is a reggae/dancehall-influenced track best known for its sampled use in the song "Mercy."
-
E.
Cappadonna
Cappadonna is an American rapper best known as a longtime affiliate and later official member of the Wu-Tang Clan.
- 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_69a886023194819080a3fccd6e325d0e |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69aa622ca9bc8190b99e90295cb01646 |
completed | March 6, 2026, 5:12 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad6096584c81909ce50469f23a8a12 |
completed | March 8, 2026, 11:42 a.m. |
Created at: March 4, 2026, 7:28 p.m.