Triple
T14443579
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Acorn Atom |
E358145
|
entity |
| Predicate | textModes |
P114298
|
FINISHED |
| Object | 32×16 characters |
—
|
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: 32×16 characters | Statement: [Acorn Atom, textModes, 32×16 characters]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: textModes Context triple: [Acorn Atom, textModes, 32×16 characters]
-
A.
textMode
Indicates that something operates, is displayed, or is processed in a mode where information is handled primarily as text rather than as graphics or other media.
-
B.
textType
Indicates the classification of a text according to its type, format, or genre.
-
C.
textScript
Indicates the writing system or script in which a given piece of text is expressed.
-
D.
textualTransmission
Indicates the transfer or communication of information through written or printed text from one source to another.
-
E.
textualFamily
Indicates that two or more texts are related through a shared origin, tradition, or lineage, forming a recognizable textual group or family.
- 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_69d8279402a88190821ffa39ae15bccf |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de915d28ec81909e72124e9dd67bfb |
completed | April 14, 2026, 7:11 p.m. |
| PD | Predicate disambiguation | batch_69de5c3a02fc819097373f97a260cdeb |
completed | April 14, 2026, 3:24 p.m. |
| PDg | Predicate description generation | batch_69de5fb4de14819092acdecbd201d672 |
completed | April 14, 2026, 3:39 p.m. |
Created at: April 10, 2026, 1:19 a.m.