Triple
T1331135
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Swarm (television series) |
E28645
|
entity |
| Predicate | executiveProducer |
P7225
|
FINISHED |
| Object |
Sara Esberg
Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
|
E151328
|
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: Sara Esberg | Statement: [Swarm (television series), executiveProducer, Sara Esberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Esberg Context triple: [Swarm (television series), executiveProducer, Sara Esberg]
-
A.
Pia Lindström
Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
-
B.
Therese Andersson
Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
-
C.
Hanna Alström
Hanna Alström is a Swedish actress best known internationally for her role as Princess Tilde in the action-comedy film "Kingsman: The Secret Service" and its sequel.
-
D.
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.
-
E.
Nina Agdal
Nina Agdal is a Danish fashion model best known for her work with Sports Illustrated Swimsuit Issue and major international advertising campaigns.
- 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: Sara Esberg Triple: [Swarm (television series), executiveProducer, Sara Esberg]
Generated description
Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Esberg Target entity description: Sara Esberg is a television producer known for her executive production work on series such as the psychological horror show "Swarm."
-
A.
Pia Lindström
Pia Lindström is a Swedish-American television journalist and critic, best known as the eldest daughter of legendary actress Ingrid Bergman.
-
B.
Therese Andersson
Therese Andersson is known as the wife of former Swedish NHL star goaltender Henrik Lundqvist.
-
C.
Hanna Alström
Hanna Alström is a Swedish actress best known internationally for her role as Princess Tilde in the action-comedy film "Kingsman: The Secret Service" and its sequel.
-
D.
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.
-
E.
Nina Agdal
Nina Agdal is a Danish fashion model best known for her work with Sports Illustrated Swimsuit Issue and major international advertising campaigns.
- 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_69a498561a508190a3e1bc137c2b866a |
completed | March 1, 2026, 7:49 p.m. |
| NER | Named-entity recognition | batch_69a4c1c5f86c819098e98b046968954a |
completed | March 1, 2026, 10:46 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69acbf3593748190be52da4a586d69a5 |
completed | March 8, 2026, 12:13 a.m. |
| NEDg | Description generation | batch_69acbfae49d88190988ba80e24e8cc62 |
completed | March 8, 2026, 12:15 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69acc08672908190b8f411d1378a890a |
completed | March 8, 2026, 12:19 a.m. |
Created at: March 1, 2026, 7:55 p.m.