Triple
T14817334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Luba Kadison |
E348350
|
entity |
| Predicate | typeOfWorkDirected |
P1366
|
FINISHED |
| Object | Yiddish plays |
—
|
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 plays | Statement: [Luba Kadison, typeOfWorkDirected, Yiddish plays]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: typeOfWorkDirected Context triple: [Luba Kadison, typeOfWorkDirected, Yiddish plays]
-
A.
typeOfWork
chosen
Indicates the kind or category of work associated with or performed by an entity.
-
B.
genreOfWorkDirected
Indicates that a person has directed a work (such as a film, show, or performance) belonging to a specified genre.
-
C.
workTypeContributedTo
Indicates that an entity contributed to the creation, development, or production of a particular type of work.
-
D.
fieldOfWork
Indicates the professional or academic domain in which an entity is primarily engaged or specializes.
-
E.
workDirector
Indicates that one entity serves as the director (creative or managerial lead) of a particular work or production associated with the other 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_69d822eb8f588190bf53445e730a934f |
completed | April 9, 2026, 10:06 p.m. |
| NER | Named-entity recognition | batch_69decfe2c1ec81908b3dff7a5d0e85d0 |
completed | April 14, 2026, 11:38 p.m. |
| PD | Predicate disambiguation | batch_69de8c0ef8a4819092d84478b1f56db1 |
completed | April 14, 2026, 6:48 p.m. |
Created at: April 10, 2026, 1:50 a.m.