Triple
T20967335
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Source |
E516400
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Birgitta Valberg
Birgitta Valberg was a Swedish stage and film actress known for her work with the Royal Dramatic Theatre and appearances in classic mid-20th-century Scandinavian cinema.
|
E1463696
|
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: Birgitta Valberg | Statement: [La Source, starring, Birgitta Valberg]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Birgitta Valberg Context triple: [La Source, starring, Birgitta Valberg]
-
A.
Birgitta Ljungberg
Birgitta Ljungberg is known as the wife of film director George P. Cosmatos.
-
B.
Birgitta Pettersson
Birgitta Pettersson is a Swedish actress best known for her work in mid-20th-century cinema, particularly in films by director Ingmar Bergman.
-
C.
Birgitta Nilsson
Birgitta Nilsson is a person notable enough to be specifically cited as a bearer of the surname Nilsson.
-
D.
Gudrun Rydstedt
Gudrun Rydstedt was the wife of Swedish music executive and ABBA manager Stig Anderson.
-
E.
Hjördis Genberg
Hjördis Genberg was a Swedish fashion model and actress best known for her long and high-profile marriage to British actor David Niven.
- 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: Birgitta Valberg Triple: [La Source, starring, Birgitta Valberg]
Generated description
Birgitta Valberg was a Swedish stage and film actress known for her work with the Royal Dramatic Theatre and appearances in classic mid-20th-century Scandinavian cinema.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Birgitta Valberg Target entity description: Birgitta Valberg was a Swedish stage and film actress known for her work with the Royal Dramatic Theatre and appearances in classic mid-20th-century Scandinavian cinema.
-
A.
Birgitta Ljungberg
Birgitta Ljungberg is known as the wife of film director George P. Cosmatos.
-
B.
Birgitta Pettersson
Birgitta Pettersson is a Swedish actress best known for her work in mid-20th-century cinema, particularly in films by director Ingmar Bergman.
-
C.
Birgitta Nilsson
Birgitta Nilsson is a person notable enough to be specifically cited as a bearer of the surname Nilsson.
-
D.
Gudrun Rydstedt
Gudrun Rydstedt was the wife of Swedish music executive and ABBA manager Stig Anderson.
-
E.
Hjördis Genberg
Hjördis Genberg was a Swedish fashion model and actress best known for her long and high-profile marriage to British actor David Niven.
- 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_69e0b4fde6c48190af1398e7e734629e |
completed | April 16, 2026, 10:07 a.m. |
| NER | Named-entity recognition | batch_69e6fb9d6b548190af7214ad2468cfbf |
completed | April 21, 2026, 4:22 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a094734a7448190a5e89ef80b821f71 |
completed | May 17, 2026, 4:42 a.m. |
| NEDg | Description generation | batch_6a0948c7ba0c8190bee037a8112c33ea |
completed | May 17, 2026, 4:49 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a094968b54c8190bbaedc3d205f7f1e |
completed | May 17, 2026, 4:51 a.m. |
Created at: April 16, 2026, 1:37 p.m.