Triple
T153502
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | I Am Greta |
E3481
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object |
Cecilia Nessen
Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
|
E32745
|
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: Cecilia Nessen | Statement: [I Am Greta, producer, Cecilia Nessen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cecilia Nessen Context triple: [I Am Greta, producer, Cecilia Nessen]
-
A.
Catharina Bolnes
Catharina Bolnes was the wife of Dutch painter Johannes Vermeer and the mother of his many children, known primarily through her connection to the artist’s life and estate.
-
B.
Nina Agdal
Nina Agdal is a Danish fashion model best known for her work with Sports Illustrated Swimsuit Issue and major international advertising campaigns.
-
C.
Nancy Carlson
Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
-
D.
Hanna Lejonqvist
Hanna Lejonqvist is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
E.
Rebekka Karijord
Rebekka Karijord is a Norwegian-born composer, musician, and singer-songwriter known for her atmospheric, emotionally rich film scores and experimental folk-inspired music.
- 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: Cecilia Nessen Triple: [I Am Greta, producer, Cecilia Nessen]
Generated description
Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cecilia Nessen Target entity description: Cecilia Nessen is a film producer best known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
A.
Catharina Bolnes
Catharina Bolnes was the wife of Dutch painter Johannes Vermeer and the mother of his many children, known primarily through her connection to the artist’s life and estate.
-
B.
Nina Agdal
Nina Agdal is a Danish fashion model best known for her work with Sports Illustrated Swimsuit Issue and major international advertising campaigns.
-
C.
Nancy Carlson
Nancy Carlson is known as the wife of World Wide Web inventor Sir Tim Berners-Lee.
-
D.
Hanna Lejonqvist
Hanna Lejonqvist is a film editor known for her work on the documentary "I Am Greta," which follows climate activist Greta Thunberg.
-
E.
Rebekka Karijord
Rebekka Karijord is a Norwegian-born composer, musician, and singer-songwriter known for her atmospheric, emotionally rich film scores and experimental folk-inspired music.
- F. None of above. chosen
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_69a252868de4819080e21c9938bfe8b6 |
completed | Feb. 28, 2026, 2:27 a.m. |
| NER | Named-entity recognition | batch_69a25810799c8190a515a39169126e46 |
completed | Feb. 28, 2026, 2:50 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69a37656c324819099761a1d5ae00637 |
completed | Feb. 28, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69a376c686048190aec0abd9c6999663 |
completed | Feb. 28, 2026, 11:14 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69a377aa34cc81908820a5c970d1ecf6 |
completed | Feb. 28, 2026, 11:18 p.m. |
Created at: Feb. 28, 2026, 2:31 a.m.