Triple
T36079370
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Yankl Tshaptshovitsh |
E1043595
|
entity |
| Predicate | workTitleInYiddish |
P184254
|
FINISHED |
| Object | Got fun nekome |
—
|
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: Got fun nekome | Statement: [Yankl Tshaptshovitsh, workTitleInYiddish, Got fun nekome]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: workTitleInYiddish Context triple: [Yankl Tshaptshovitsh, workTitleInYiddish, Got fun nekome]
-
A.
workTitleInLanguage
chosen
Indicates that a work has a specific title expressed in a particular language.
-
B.
workTitleIn
Indicates that one entity is the title of a work (e.g., book, film, artwork) that appears within or is contained in another entity.
-
C.
workTitle
Indicates the formal title or name of a work (such as a book, artwork, or composition) associated with an entity.
-
D.
workTitleInLatinScript
Indicates that the title of a work is expressed using a Latin-based writing system.
-
E.
yiddishName
Indicates that an entity has a name expressed in the Yiddish language.
- 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_69f76e3154908190a6f702671c2bea08 |
completed | May 3, 2026, 3:48 p.m. |
| NER | Named-entity recognition | batch_69f7b2c771108190adeec151daad5dab |
completed | May 3, 2026, 8:40 p.m. |
| PD | Predicate disambiguation | batch_69f7b1bad2e88190963ab4ee5d4f2038 |
completed | May 3, 2026, 8:36 p.m. |
Created at: May 3, 2026, 4:08 p.m.