Triple
T23389411
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Bench |
E593970
|
entity |
| Predicate | hasCastMember |
P2308
|
FINISHED |
| Object |
Anette Støvelbæk
Anette Støvelbæk is a Danish actress known for her work in film, television, and theatre, including roles in acclaimed Danish dramas and comedies.
|
E1582321
|
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: Anette Støvelbæk | Statement: [The Bench, hasCastMember, Anette Støvelbæk]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Anette Støvelbæk Context triple: [The Bench, hasCastMember, Anette Støvelbæk]
-
A.
Kirstine Sørensen
Kirstine Sørensen was the wife of Danish carpenter and toy maker Ole Kirk Christiansen, the founder of the LEGO Group.
-
B.
Anne-Mette Rasmussen
Anne-Mette Rasmussen is a Danish public figure best known as the wife of former Danish Prime Minister and NATO Secretary General Anders Fogh Rasmussen.
-
C.
Lene Bausager
Lene Bausager is a film producer best known for her work on the Academy Award–nominated short film "Cashback."
-
D.
Lene Christensen
Lene Christensen is a Danish professional football goalkeeper known for playing in the Danish national team setup and in top-tier European women’s club football.
-
E.
Christianne Jensen
Christianne Jensen is a vocalist known for her guest appearance on Jon Bellion’s album "Glory Sound Prep."
- 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: Anette Støvelbæk Triple: [The Bench, hasCastMember, Anette Støvelbæk]
Generated description
Anette Støvelbæk is a Danish actress known for her work in film, television, and theatre, including roles in acclaimed Danish dramas and comedies.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Anette Støvelbæk Target entity description: Anette Støvelbæk is a Danish actress known for her work in film, television, and theatre, including roles in acclaimed Danish dramas and comedies.
-
A.
Kirstine Sørensen
Kirstine Sørensen was the wife of Danish carpenter and toy maker Ole Kirk Christiansen, the founder of the LEGO Group.
-
B.
Anne-Mette Rasmussen
Anne-Mette Rasmussen is a Danish public figure best known as the wife of former Danish Prime Minister and NATO Secretary General Anders Fogh Rasmussen.
-
C.
Lene Bausager
Lene Bausager is a film producer best known for her work on the Academy Award–nominated short film "Cashback."
-
D.
Lene Christensen
Lene Christensen is a Danish professional football goalkeeper known for playing in the Danish national team setup and in top-tier European women’s club football.
-
E.
Christianne Jensen
Christianne Jensen is a vocalist known for her guest appearance on Jon Bellion’s album "Glory Sound Prep."
- 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_69e25d2754fc819085deea939bde60ab |
completed | April 17, 2026, 4:17 p.m. |
| NER | Named-entity recognition | batch_69f1a49a7c14819082aab826715976c5 |
completed | April 29, 2026, 6:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0c5de999488190be021920241b7f25 |
completed | May 19, 2026, 12:56 p.m. |
| NEDg | Description generation | batch_6a0c5e7eb7b481908b3cece1823cf785 |
completed | May 19, 2026, 12:58 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0c5eef81e48190b62da26fb8d65223 |
completed | May 19, 2026, 1 p.m. |
Created at: April 17, 2026, 5:35 p.m.