Triple
T9283911
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | From the Life of the Marionettes |
E223137
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object | Sylvia Ingemarsson |
E407148
|
NE FINISHED |
How this triple was built (2 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: Sylvia Ingemarsson | Statement: [From the Life of the Marionettes, editedBy, Sylvia Ingemarsson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sylvia Ingemarsson Context triple: [From the Life of the Marionettes, editedBy, Sylvia Ingemarsson]
-
A.
Sylvia Ingemarsson
chosen
Sylvia Ingemarsson is a film editor best known for her work on Ingmar Bergman’s drama "Autumn Sonata."
-
B.
Karin Hansson
Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
-
C.
Annette Ekblom
Annette Ekblom is an English actress known for her work in television, film, and theatre, including roles in series such as "Brookside" and "The Broker's Man."
-
D.
Margareta Wästberg
Margareta Wästberg is known as the spouse of Swedish writer and literary figure Per Wästberg.
-
E.
Maud Runnström
Maud Runnström was the wife of Swedish physicist and Nobel laureate Kai Siegbahn.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca842123588190b3f2e1a69037d141 |
completed | March 30, 2026, 2:09 p.m. |
| NER | Named-entity recognition | batch_69cd081e72988190917f425e64631837 |
completed | April 1, 2026, 11:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d0b2134d408190b21c7dc642549fe4 |
completed | April 4, 2026, 6:39 a.m. |
Created at: March 30, 2026, 7:34 p.m.