Triple
T7531798
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Greta |
E178039
|
entity |
| Predicate | featuresPerson |
P2308
|
FINISHED |
| Object | Svante Thunberg |
E8448
|
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: Svante Thunberg | Statement: [I Am Greta, featuresPerson, Svante Thunberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Svante Thunberg Context triple: [I Am Greta, featuresPerson, Svante Thunberg]
-
A.
Svante Thunberg
chosen
Svante Thunberg is a Swedish actor, author, and producer best known as the father and manager of climate activist Greta Thunberg.
-
B.
Clas Thunberg
Clas Thunberg was a Finnish speed skater and multiple Olympic champion widely regarded as one of the sport’s early greats.
-
C.
Malena Ernman Thunberg
Malena Ernman Thunberg is a Swedish opera singer and environmental activist, best known as the mother of climate activist Greta Thunberg.
-
D.
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.
-
E.
Greta Thunberg
Greta Thunberg is a Swedish environmental activist internationally known for catalyzing the global youth climate movement and pressuring world leaders to take stronger action on climate change.
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84753fc81908bee2013004ef5fb |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c856b369c88190b8a9a196e2166f9f |
completed | March 28, 2026, 10:31 p.m. |
Created at: March 27, 2026, 3:47 p.m.