Triple
T12752074
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Curt Jürgens |
E304759
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Lulu Basler
Lulu Basler was the first wife of renowned German-Austrian actor Curd Jürgens.
|
E1002425
|
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: Lulu Basler | Statement: [Curt Jürgens, spouse, Lulu Basler]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Lulu Basler Context triple: [Curt Jürgens, spouse, Lulu Basler]
-
A.
Lulu Meyers
Lulu Meyers is a central fictional character in Norman Mailer’s novel "The Deer Park," embodying the moral ambiguity and disillusionment of Hollywood’s postwar social scene.
-
B.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
-
C.
Lulu Simon
Lulu Simon is a singer-songwriter and the daughter of American musicians Edie Brickell and Paul Simon.
-
D.
Alisa Lepselter
Alisa Lepselter is an American film editor best known for her long-time collaboration with director Woody Allen on numerous critically acclaimed films.
-
E.
Natalie Baszile
Natalie Baszile is an American author best known for her novel "Queen Sugar," which was adapted into the acclaimed television series created by Ava DuVernay and produced by Oprah Winfrey.
- 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: Lulu Basler Triple: [Curt Jürgens, spouse, Lulu Basler]
Generated description
Lulu Basler was the first wife of renowned German-Austrian actor Curd Jürgens.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Lulu Basler Target entity description: Lulu Basler was the first wife of renowned German-Austrian actor Curd Jürgens.
-
A.
Lulu Meyers
Lulu Meyers is a central fictional character in Norman Mailer’s novel "The Deer Park," embodying the moral ambiguity and disillusionment of Hollywood’s postwar social scene.
-
B.
Lila Hotz
Lila Hotz was the first wife of American magazine magnate Henry Luce, co-founder of Time Inc.
-
C.
Lulu Simon
Lulu Simon is a singer-songwriter and the daughter of American musicians Edie Brickell and Paul Simon.
-
D.
Alisa Lepselter
Alisa Lepselter is an American film editor best known for her long-time collaboration with director Woody Allen on numerous critically acclaimed films.
-
E.
Natalie Baszile
Natalie Baszile is an American author best known for her novel "Queen Sugar," which was adapted into the acclaimed television series created by Ava DuVernay and produced by Oprah Winfrey.
- 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_69d7bdf1fcd081909ffb0e0d6fa3a07d |
completed | April 9, 2026, 2:55 p.m. |
| NER | Named-entity recognition | batch_69d96bd9555081908b0d027bc332b468 |
completed | April 10, 2026, 9:30 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f684ee2ab4819099194d115d2e5a15 |
completed | May 2, 2026, 11:12 p.m. |
| NEDg | Description generation | batch_69f6887fe8a08190b61831a13b656a89 |
completed | May 2, 2026, 11:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6890ad3188190be5a5b80e81ab958 |
completed | May 2, 2026, 11:30 p.m. |
Created at: April 9, 2026, 5:27 p.m.