Triple
T4208085
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | YG |
E93829
|
entity |
| Predicate | recordLabel |
P1500
|
FINISHED |
| Object | Pu$haz Ink |
E334989
|
NE FINISHED |
How this triple was built (2 steps)
Every LLM step that produced this triple, in pipeline order — named-entity classification, the disambiguation choices (the exact options shown, with the pick highlighted), and the generated description. The batch + timestamp of each is in the Provenance table below.
NER
Named-entity recognition
gpt-5-mini
Instruction
Given a phrase, classify it is english named entity (e.g., persons, organizations, works of art) in Latin script, or not (e.g., literals, dates, URLs, verbose phrases). For disambiguation, the statement where the phrase occurs as object is also given. Please return a JSON object with `phrase` (string, the phrase being analyzed) and `is_ne` (boolean, indicating whether the phrase is a Named Entity).
Input
Phrase: Pu$haz Ink | Statement: [YG, recordLabel, Pu$haz Ink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pu$haz Ink Context triple: [YG, recordLabel, Pu$haz Ink]
-
A.
Pu$haz Ink
chosen
Pu$haz Ink is an independent hip hop record label and collective associated with West Coast rapper and producer Ty Dolla Sign.
-
B.
The Ink Factory
The Ink Factory is a British production company best known for adapting John le Carré’s works for film and television.
-
C.
Flypaper Press
Flypaper Press is an independent comic book publisher best known for releasing the graphic novel "Bulletproof Monk."
-
D.
Black Tent Press
Black Tent Press is an independent record label known for releasing music by experimental and noise-rock artists such as Dope Body.
-
E.
Pendant Publishing
Pendant Publishing is a fictional New York City publishing company featured in the television sitcom "Seinfeld," where Elaine Benes works for much of the series.
- 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_69b3451743608190808f41d17ccf2650 |
completed | March 12, 2026, 10:58 p.m. |
| NER | Named-entity recognition | batch_69b3480e2aa08190a0b24df3b0e4b272 |
completed | March 12, 2026, 11:11 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b5962bb63c81909e28a958323edb82 |
completed | March 14, 2026, 5:08 p.m. |
Created at: March 12, 2026, 11:03 p.m.