Triple
T13931139
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Blasé |
E334993
|
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: [Blasé, recordLabel, Pu$haz Ink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Pu$haz Ink Context triple: [Blasé, 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.
The Inkwell
The Inkwell is a 1994 coming-of-age comedy-drama film set during a family summer vacation on Martha’s Vineyard, known for its exploration of Black middle-class life in the 1970s.
-
D.
37 Ink
37 Ink is a Simon & Schuster imprint focused on publishing diverse, culturally resonant voices, particularly from Black and other underrepresented communities.
-
E.
Inkster
Inkster is a small rural municipality located in Grand Forks County in the U.S. state of North Dakota.
- 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_69d81c5f739081908bc05b2461f54828 |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de2cf13b2881908a48058a719d3745 |
completed | April 14, 2026, 12:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fbac880f50819080011aef63f48dc8 |
completed | May 6, 2026, 9:03 p.m. |
Created at: April 9, 2026, 10:16 p.m.