Triple
T21383150
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johann Hohenstein |
E527413
|
entity |
| Predicate | languageOfNotableWorks |
P17914
|
FINISHED |
| Object | English |
—
|
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: English | Statement: [Johann Hohenstein, languageOfNotableWorks, English]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: languageOfNotableWorks Context triple: [Johann Hohenstein, languageOfNotableWorks, English]
-
A.
notableLanguageOfWorks
Indicates that a particular language is especially prominent or significant among the works created by an entity.
-
B.
languageOfWritings
chosen
Indicates that a specified language is the one in which certain writings or written works are composed.
-
C.
languageAttestedIn
Indicates that evidence exists showing the use or presence of a particular language in a specified place, time, or context.
-
D.
languageOfBooks
Indicates the language in which the referenced books are written or published.
-
E.
languageOfAuthor
Indicates the language in which an author writes or has written their works.
- F. None of above.
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_69e0b51f363c8190944000ab5523b02b |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e8b0f05278819096c511035ffc9777 |
completed | April 22, 2026, 11:28 a.m. |
| PD | Predicate disambiguation | batch_69e6162bbfc88190a3e75859941b2638 |
completed | April 20, 2026, 12:03 p.m. |
Created at: April 16, 2026, 5:12 p.m.