Triple
T16998739
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | InkJoy |
E412383
|
entity |
| Predicate | hasSubBrand |
P6092
|
FINISHED |
| Object | InkJoy 700 |
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 | Statement: [InkJoy, hasSubBrand, InkJoy 700]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: InkJoy 700 Context triple: [InkJoy, hasSubBrand, InkJoy 700]
-
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.
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.
-
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_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_6a0139ed3c5c8190b9d3662378ead04c |
completed | May 11, 2026, 2:07 a.m. |
Created at: April 10, 2026, 5:32 a.m.