Triple
T25426428
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Altsys |
E637126
|
entity |
| Predicate | FreeHandType |
P158495
|
FINISHED |
| Object | vector-graphics illustration program |
—
|
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: vector-graphics illustration program | Statement: [Altsys, FreeHandType, vector-graphics illustration program]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: FreeHandType Context triple: [Altsys, FreeHandType, vector-graphics illustration program]
-
A.
hasHandwritingOf
Indicates that one entity’s handwriting style or written text is attributed to, or produced by, another entity.
-
B.
handDesign
Indicates that one entity has created or is responsible for the design of another entity by hand.
-
C.
characterFormationMethod
Indicates the process or technique by which a character is created, developed, or brought into existence.
-
D.
sketchType
Indicates the specific kind or category of sketch associated with an entity or action.
-
E.
areHandwritten
Indicates that the associated text or content has been produced by hand rather than by mechanical or digital means.
- 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_69e75db58a1c8190891b9ff7c2f8414e |
completed | April 21, 2026, 11:21 a.m. |
| NER | Named-entity recognition | batch_69f5f6bfdb748190abfd40ed1838d9aa |
completed | May 2, 2026, 1:06 p.m. |
| PD | Predicate disambiguation | batch_69f4683b34748190818428489a226124 |
completed | May 1, 2026, 8:45 a.m. |
| PDg | Predicate description generation | batch_69f46d361c348190b5fdfd805ecde01b |
completed | May 1, 2026, 9:07 a.m. |
Created at: April 21, 2026, 1:57 p.m.