Triple
T22327852
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Baskerville’s classical editions |
E551946
|
entity |
| Predicate | usesInk |
P147750
|
FINISHED |
| Object | rich black ink |
—
|
LITERAL 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: rich black ink | Statement: [Baskerville’s classical editions, usesInk, rich black ink]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usesInk Context triple: [Baskerville’s classical editions, usesInk, rich black ink]
-
A.
haveInkColor
Indicates that an entity (such as a writing instrument or printer) possesses ink of a specified color.
-
B.
canInk
Indicates that one entity has the capability or function to apply ink to another entity.
-
C.
cartridgeColor
Indicates that one entity is the color attribute associated with a particular cartridge.
-
D.
usesDyes
Indicates that one entity employs or applies dyes in relation to another entity or process.
-
E.
featuresCartouchesOf
Indicates that something (such as an artifact, monument, or object) bears or includes cartouches that contain the names or titles of specific individuals or entities.
- F. None of above. chosen
Provenance (4 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_69e11e482f788190b78d1588fc26d606 |
completed | April 16, 2026, 5:37 p.m. |
| NER | Named-entity recognition | batch_69f15769fdb48190b84e0c019ab63579 |
completed | April 29, 2026, 12:57 a.m. |
| PD | Predicate disambiguation | batch_69e73004d9e88190bb862319a5aea06b |
completed | April 21, 2026, 8:06 a.m. |
| PDg | Predicate description generation | batch_69e7342ce08c8190bc0a7085f4a952e7 |
completed | April 21, 2026, 8:24 a.m. |
Created at: April 16, 2026, 8:42 p.m.