Triple
T4666999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Rush (2013 film) |
E102868
|
entity |
| Predicate | portraysPerson |
P1852
|
FINISHED |
| Object |
Marlene Knaus
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
|
E483987
|
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: Marlene Knaus | Statement: [Rush (2013 film), portraysPerson, Marlene Knaus]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marlene Knaus Context triple: [Rush (2013 film), portraysPerson, Marlene Knaus]
-
A.
Renée Hartmann
Renée Hartmann was the wife of Venezuelan statesman and former president Rómulo Betancourt.
-
B.
Barbara Henning
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
-
C.
Helene Moos
Helene Moos was the mother of Hermann Einstein and thus the paternal grandmother of physicist Albert Einstein.
-
D.
Annette Ziegler
Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
-
E.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
- 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: Marlene Knaus Triple: [Rush (2013 film), portraysPerson, Marlene Knaus]
Generated description
Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marlene Knaus Target entity description: Marlene Knaus is an Austrian former model best known as the ex-wife of Formula One legend Niki Lauda.
-
A.
Renée Hartmann
Renée Hartmann was the wife of Venezuelan statesman and former president Rómulo Betancourt.
-
B.
Barbara Henning
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
-
C.
Helene Moos
Helene Moos was the mother of Hermann Einstein and thus the paternal grandmother of physicist Albert Einstein.
-
D.
Annette Ziegler
Annette Ziegler is an American jurist who serves as the Chief Justice of the Wisconsin Supreme Court.
-
E.
Dagmar Berghoff
Dagmar Berghoff is a prominent German television and radio presenter best known as one of the first and most recognizable news anchors for the ARD Tagesschau.
- 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_69bd43d9cba4819086c1ab1c2d9d2133 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd6c3d1cb88190a42919dcbfe2568c |
completed | March 20, 2026, 3:48 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69be89c2485881908797f4a3560a0b04 |
completed | March 21, 2026, 12:06 p.m. |
| NEDg | Description generation | batch_69be8aaa3eac8190876fc8c892cb7c3f |
completed | March 21, 2026, 12:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69be8b164c8c8190b03e7e4892b6aa9e |
completed | March 21, 2026, 12:12 p.m. |
Created at: March 20, 2026, 1:15 p.m.