Triple
T17868156
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Min and Bill |
E446759
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object | Greta Granstedt |
—
|
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: Greta Granstedt | Statement: [Min and Bill, starring, Greta Granstedt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greta Granstedt Context triple: [Min and Bill, starring, Greta Granstedt]
-
A.
Greta Granstedt
chosen
Greta Granstedt was an American film and television actress active primarily in the 1930s and 1940s, known for her supporting roles in crime dramas and B-movies.
-
B.
Greta Lindström
Greta Lindström is a Swedish actress known for her roles in early 20th-century Scandinavian cinema.
-
C.
Greta Falk
Greta Falk is a relatively obscure individual whose specific public achievements or biographical details are not widely documented.
-
D.
Greta Lovisa Gustafsson
Greta Lovisa Gustafsson, better known as Greta Garbo, was a legendary Swedish-American film actress renowned for her enigmatic screen presence and iconic roles during Hollywood’s silent and early sound eras.
-
E.
Karin Hansson
Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
- 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_69d8b9f4c22c819093c2680434472894 |
completed | April 10, 2026, 8:51 a.m. |
| NER | Named-entity recognition | batch_69e49aa0b69081909fba3b42d237b543 |
completed | April 19, 2026, 9:04 a.m. |
Created at: April 10, 2026, 10:17 a.m.