Triple
T14358700
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Sleeper Cell |
E356038
|
entity |
| Predicate | castMember |
P1668
|
FINISHED |
| Object |
Thekla Reuten
Thekla Reuten is a Dutch actress known for her roles in international films and television series, including English-language productions.
|
E1106175
|
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: Thekla Reuten | Statement: [Sleeper Cell, castMember, Thekla Reuten]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Thekla Reuten Context triple: [Sleeper Cell, castMember, Thekla Reuten]
-
A.
Erika van Thiel
Erika van Thiel is best known as the wife of Dutch trance DJ and record producer Armin van Buuren.
-
B.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
-
C.
Johanna Geilus
Johanna Geilus was the wife of Austrian journalist and politician Fritz Austerlitz.
-
D.
Lida Scholten
Lida Scholten is a Dutch art patron and co-founder of the Museum Beelden aan Zee in The Hague, known for her support of modern and contemporary sculpture.
-
E.
Thea Van Seijen
Thea Van Seijen is a Dutch singer best known for her vocal work on several of trip-hop artist Tricky’s albums.
- 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: Thekla Reuten Triple: [Sleeper Cell, castMember, Thekla Reuten]
Generated description
Thekla Reuten is a Dutch actress known for her roles in international films and television series, including English-language productions.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Thekla Reuten Target entity description: Thekla Reuten is a Dutch actress known for her roles in international films and television series, including English-language productions.
-
A.
Erika van Thiel
Erika van Thiel is best known as the wife of Dutch trance DJ and record producer Armin van Buuren.
-
B.
Astrid Nienhuis
Astrid Nienhuis is a Dutch politician who serves as the mayor of the municipality of Heemstede in the Netherlands.
-
C.
Johanna Geilus
Johanna Geilus was the wife of Austrian journalist and politician Fritz Austerlitz.
-
D.
Lida Scholten
Lida Scholten is a Dutch art patron and co-founder of the Museum Beelden aan Zee in The Hague, known for her support of modern and contemporary sculpture.
-
E.
Thea Van Seijen
Thea Van Seijen is a Dutch singer best known for her vocal work on several of trip-hop artist Tricky’s albums.
- 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_69d82790a7e08190877e2d349b2e8d8e |
completed | April 9, 2026, 10:26 p.m. |
| NER | Named-entity recognition | batch_69de8f52ca7881908704eef20228aed3 |
completed | April 14, 2026, 7:02 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd8aa530fc81908aecc4439eea4c01 |
completed | May 8, 2026, 7:03 a.m. |
| NEDg | Description generation | batch_69fd8dd4c2648190b4862085b84d9670 |
completed | May 8, 2026, 7:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd8e7dcc188190b56551dfb266c118 |
completed | May 8, 2026, 7:19 a.m. |
Created at: April 10, 2026, 1:15 a.m.