Triple
T16998740
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InkJoy |
E412383
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object | InkJoy 700 RT |
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 700 RT | Statement: [InkJoy, hasSubBrand, InkJoy 700 RT]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: InkJoy 700 RT Context triple: [InkJoy, hasSubBrand, InkJoy 700 RT]
-
A.
InkJoy
chosen
InkJoy is a line of smooth-writing, colorful pens and writing instruments produced by the Paper Mate brand.
-
B.
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.
-
C.
HP 902 ink series
The HP 902 ink series is a line of HP printer cartridges designed for color inkjet printing in compatible OfficeJet models, offering standard and high-yield options for home and small office use.
-
D.
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.
-
E.
Ink
"Ink" is a song featured on the Japanese rock band Ghost Stories' album.
- 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_6a01413a445c8190920fe385d3cd43f3 |
completed | May 11, 2026, 2:38 a.m. |
Created at: April 10, 2026, 5:32 a.m.