Triple
T2098378
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Beata Ernman-Thunberg |
E37034
|
entity |
| Predicate | hasFamilyName |
P18
|
FINISHED |
| Object | Thunberg |
E58730
|
NE 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: Thunberg | Statement: [Beata Ernman-Thunberg, hasFamilyName, Thunberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thunberg Context triple: [Beata Ernman-Thunberg, hasFamilyName, Thunberg]
-
A.
Thunberg
chosen
Thunberg is a Swedish surname most prominently associated today with climate activist Greta Thunberg and her family of performers and writers.
-
B.
Svante Thunberg
Svante Thunberg is a Swedish actor, author, and producer best known as the father and manager of climate activist Greta Thunberg.
-
C.
Olof Thunberg
Olof Thunberg was a Swedish actor and director known for his extensive work in film, television, and voice acting, including being the Swedish voice of Disney’s Winnie the Pooh.
-
D.
Greta
Greta is a small town located within the Hunter Region of New South Wales, Australia.
-
E.
Greta
Greta is a feminine given name, commonly used as a diminutive or variant of names like Margaret in various European languages.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69a8861828948190924aa30c08806b3a |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69abba9de75c81909770409b5ae62c24 |
completed | March 7, 2026, 5:41 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ae6aea7f58819081790c08791a5841 |
completed | March 9, 2026, 6:38 a.m. |
Created at: March 4, 2026, 7:43 p.m.