Triple
T20967334
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | La Source |
E516400
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Gunnel Lindblom |
—
|
NE NERFINISHED |
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: Gunnel Lindblom | Statement: [La Source, starring, Gunnel Lindblom]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gunnel Lindblom Context triple: [La Source, starring, Gunnel Lindblom]
-
A.
Gunnel Lindblom
chosen
Gunnel Lindblom was a Swedish actress and director best known for her frequent collaborations with filmmaker Ingmar Bergman in both film and theater.
-
B.
Gunnel Persson
Gunnel Persson is a Swedish figure known primarily as the former spouse of Sweden’s ex-Prime Minister Göran Persson.
-
C.
Gunilla Andersson
Gunilla Andersson is a Swedish former ice hockey player known for being one of the key defenders on Sweden’s national women’s team and a multiple-time Olympic and World Championship medalist.
-
D.
Gunilla Nilsson
Gunilla Nilsson is a Swedish former middle-distance runner known for competing internationally during the 1960s and 1970s.
-
E.
Gunilla Bielke
Gunilla Bielke was a Swedish noblewoman who became Queen consort of Sweden through her marriage to King John III in the late 16th century.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (2 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. |
Created at: April 16, 2026, 1:37 p.m.