Triple
T22757995
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Nowakówna |
E562903
|
entity |
| Predicate | relatedFormRole |
P21674
|
FINISHED |
| Object | traditionally denoted a married woman or wife of Nowak |
—
|
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: traditionally denoted a married woman or wife of Nowak | Statement: [Nowakówna, relatedFormRole, traditionally denoted a married woman or wife of Nowak]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: relatedFormRole Context triple: [Nowakówna, relatedFormRole, traditionally denoted a married woman or wife of Nowak]
-
A.
relatedForm
chosen
Indicates that one entity is an alternative or variant form of another, such as a different spelling, inflection, or closely related lexical form.
-
B.
relatesForm
Indicates that one entity is connected to another through a specific form, format, or structural representation.
-
C.
relatedField
Indicates that one field, topic, or area of study is connected or relevant to another in subject matter or application.
-
D.
relatedType
Indicates that one entity is connected to another through a specified type or category of relationship.
-
E.
associatedWithForm
Indicates a relationship in which something is linked or connected to a particular form, document, or structured representation.
- 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_69e24551ec7881909a9c924dbea155f6 |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f17a7a8ca481909953dcd6fbcc5fcf |
completed | April 29, 2026, 3:26 a.m. |
| PD | Predicate disambiguation | batch_69eed2b88d88819096015deb6a648801 |
completed | April 27, 2026, 3:06 a.m. |
Created at: April 17, 2026, 3:25 p.m.