Triple
T16378990
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Atria Books |
E397750
|
entity |
| Predicate | hasImprint |
P2763
|
FINISHED |
| Object | 37 Ink |
E1054563
|
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: 37 Ink | Statement: [Atria Books, hasImprint, 37 Ink]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: 37 Ink Context triple: [Atria Books, hasImprint, 37 Ink]
-
A.
37 Ink
chosen
37 Ink is a Simon & Schuster imprint focused on publishing diverse, culturally resonant voices, particularly from Black and other underrepresented communities.
-
B.
Pu$haz Ink
Pu$haz Ink is an independent hip hop record label and collective associated with West Coast rapper and producer Ty Dolla Sign.
-
C.
Inkster
Inkster is a small rural municipality located in Grand Forks County in the U.S. state of North Dakota.
-
D.
Ink
"Ink" is a song featured on the Japanese rock band Ghost Stories' album.
-
E.
Ink
Ink is a short-lived 1996 American sitcom starring Ted Danson and Mary Steenburgen as married newspaper journalists balancing their chaotic work and home lives.
- 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_69d87f2880b48190ae1a9673a3bbef80 |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e319da3c6c8190a9ccf744996c31e8 |
completed | April 18, 2026, 5:42 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00356658e881908131a3c60ed5499d |
completed | May 10, 2026, 7:36 a.m. |
Created at: April 10, 2026, 5:08 a.m.