Triple
T16773522
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Moskat family |
E407662
|
entity |
| Predicate | workAuthorLanguage |
P17914
|
FINISHED |
| Object | Yiddish |
—
|
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: Yiddish | Statement: [Moskat family, workAuthorLanguage, Yiddish]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workAuthorLanguage Context triple: [Moskat family, workAuthorLanguage, Yiddish]
-
A.
workAuthorIs
Indicates that a specific person or entity is the author or creator of a particular work.
-
B.
notableAuthorInLanguage
Indicates that a person is a particularly prominent or distinguished author who writes in the specified language.
-
C.
originalLanguageAuthor
Indicates that an author created a work in a particular original language.
-
D.
languageOfWritings
chosen
Indicates that a specified language is the one in which certain writings or written works are composed.
-
E.
workOfAuthorOf
Indicates that one entity is a work (such as a book, article, or artwork) created by the author associated with another entity.
- 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_69d8839270588190886720d9519bbf8f |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3b037c5708190ba604e7707b5a8a2 |
completed | April 18, 2026, 4:24 p.m. |
| PD | Predicate disambiguation | batch_69e319cf691c819083e39225f5777ef0 |
completed | April 18, 2026, 5:42 a.m. |
Created at: April 10, 2026, 5:21 a.m.