Triple
T16998736
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InkJoy |
E412383
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object | InkJoy 300 |
E412383
|
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: InkJoy 300 | Statement: [InkJoy, hasSubBrand, InkJoy 300]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: InkJoy 300 Context triple: [InkJoy, hasSubBrand, InkJoy 300]
-
A.
InkJoy
chosen
InkJoy is a line of smooth-writing, colorful pens and writing instruments produced by the Paper Mate brand.
-
B.
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.
-
C.
Ink
"Ink" is a song featured on the Japanese rock band Ghost Stories' album.
-
D.
Inkster
Inkster is a small rural municipality located in Grand Forks County in the U.S. state of North Dakota.
-
E.
Kurzweil K250
The Kurzweil K250 is a pioneering digital sampling keyboard workstation from the 1980s, renowned for its realistic acoustic instrument sounds and significant influence on professional music production.
- 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_69d886cb581c8190ab05f4b429c9cd85 |
completed | April 10, 2026, 5:12 a.m. |
| NER | Named-entity recognition | batch_69e3d37c16d081908ea5e25c992cb254 |
completed | April 18, 2026, 6:54 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a011b451ff88190b63f4ebddf93f153 |
completed | May 10, 2026, 11:56 p.m. |
Created at: April 10, 2026, 5:32 a.m.