Triple
T28468110
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beata Ernman Thunberg |
E720354
|
entity |
| Predicate | hasMatronymicConnection |
P97329
|
FINISHED |
| Object | Ernman family |
—
|
NE NERFINISHED |
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: Ernman family | Statement: [Beata Ernman Thunberg, hasMatronymicConnection, Ernman family]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: hasMatronymicConnection Context triple: [Beata Ernman Thunberg, hasMatronymicConnection, Ernman family]
-
A.
isMatronymicOf
Indicates that one entity is a name or designation derived from the mother of another entity, typically used as that entity’s family or identifying name.
-
B.
isMatronymic
chosen
Indicates that a name or designation is derived from the mother’s name or maternal lineage.
-
C.
hasMatrilinealConnection
Indicates a relationship where one entity is connected to another through a line of descent traced exclusively through female ancestors.
-
D.
patronymicOrMatronymic
Indicates that one entity’s name is derived from the father’s or mother’s name, expressing a parent-based naming relationship between the two entities.
-
E.
isPaternalFamilyNameOf
Indicates that one name is the paternal (father’s-side) family surname borne by a given person.
- 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_69f01a58a67c819097936d9e8da8d6e6 |
completed | April 28, 2026, 2:24 a.m. |
| NER | Named-entity recognition | batch_69fecb4d02f881909a9ee97ce98000d5 |
completed | May 9, 2026, 5:51 a.m. |
| PD | Predicate disambiguation | batch_69fec9846c1c8190b317f0711f0755db |
completed | May 9, 2026, 5:43 a.m. |
Created at: April 28, 2026, 2:46 a.m.