Triple
T40922
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Greta Thunberg |
E807
|
entity |
| Predicate | givenName |
P17
|
FINISHED |
| Object |
Greta
Greta is a Swedish environmental activist internationally known for her school strike for climate and powerful advocacy for urgent action on climate change.
|
E8448
|
NE FINISHED |
How this triple was built (4 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: Greta | Statement: [Greta Thunberg, givenName, Greta]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greta Context triple: [Greta Thunberg, givenName, Greta]
-
A.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
-
B.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
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.
Svante Thunberg
Svante Thunberg is a Swedish actor, author, and producer best known as the father and manager of climate activist Greta Thunberg.
- F. None of above. chosen
- G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg
Description generation
gpt-5.1
Instruction
Generate a one-sentence description of the target entity. You are given a context triple in the form (subject, predicate, object), where the object is the target entity. # Instructions Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. Avoid repeating the information from the triple, unless really essential. # Response Format Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Greta Triple: [Greta Thunberg, givenName, Greta]
Generated description
Greta is a Swedish environmental activist internationally known for her school strike for climate and powerful advocacy for urgent action on climate change.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greta Target entity description: Greta is a Swedish environmental activist internationally known for her school strike for climate and powerful advocacy for urgent action on climate change.
-
A.
Anna
Anna is the given first name of Eleanor Roosevelt, the influential former First Lady of the United States and human rights advocate.
-
B.
Maia
Maia is a figure from Greek mythology, one of the Pleiades and the mother of the god Hermes.
-
C.
Barbara
Barbara is a feminine given name of Greek origin that has been widely used in many cultures and languages.
-
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.
Svante Thunberg
chosen
Svante Thunberg is a Swedish actor, author, and producer best known as the father and manager of climate activist Greta Thunberg.
- F. None of above.
Provenance (5 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_69a247a8f6c08190bac804906d62ed5a |
completed | Feb. 28, 2026, 1:40 a.m. |
| NER | Named-entity recognition | batch_69a24ae0b7c4819092220568e8e52ad5 |
completed | Feb. 28, 2026, 1:54 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a27bfdda548190ae43a219cb555ad0 |
completed | Feb. 28, 2026, 5:24 a.m. |
| NEDg | Description generation | batch_69a27dc7ee4c8190802b9c9a3c2c1270 |
completed | Feb. 28, 2026, 5:31 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69a27e2dcde48190a8ff74be207f9f07 |
completed | Feb. 28, 2026, 5:33 a.m. |
Created at: Feb. 28, 2026, 1:46 a.m.