Triple
T22141326
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Boris-Mihail |
E547164
|
entity |
| Predicate | roleInAlphabet |
P147140
|
FINISHED |
| Object | patron of the development of the Cyrillic script |
—
|
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: patron of the development of the Cyrillic script | Statement: [Boris-Mihail, roleInAlphabet, patron of the development of the Cyrillic script]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: roleInAlphabet Context triple: [Boris-Mihail, roleInAlphabet, patron of the development of the Cyrillic script]
-
A.
alphabeticPosition
Indicates the relative position of a character or letter within an ordered alphabet sequence.
-
B.
nameLetter
Indicates that a specific letter is part of, or occurs within, an entity’s name.
-
C.
alphabetRange
Indicates that one entity specifies a contiguous range of letters in an alphabet that extends from the starting letter to the ending letter.
-
D.
alphabet
Indicates that one entity is an alphabet or set of symbols used for representing elements (such as characters or tokens) in relation to another entity.
-
E.
alphabeticPartRepresents
Indicates that the alphabetic portion of an identifier, code, or label stands for or denotes a particular concept, category, or entity.
- 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_69e11e3a95d88190a3bd80d9471976c3 |
completed | April 16, 2026, 5:36 p.m. |
| NER | Named-entity recognition | batch_69f129beb6c8819083be3b7479bc032f |
completed | April 28, 2026, 9:42 p.m. |
| PD | Predicate disambiguation | batch_69e71b384e008190b723c9a0f1089d66 |
completed | April 21, 2026, 6:37 a.m. |
| PDg | Predicate description generation | batch_69e7222d208c819098b12c13e31af629 |
completed | April 21, 2026, 7:07 a.m. |
Created at: April 16, 2026, 8:32 p.m.