Triple
T16698166
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Crooked Way |
E405772
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Greta Granstedt
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.
|
E1230456
|
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: Greta Granstedt | Statement: [The Crooked Way, stars, Greta Granstedt]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Greta Granstedt Context triple: [The Crooked Way, stars, Greta Granstedt]
-
A.
Greta Lindström
Greta Lindström is a Swedish actress known for her roles in early 20th-century Scandinavian cinema.
-
B.
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.
-
C.
Karin Hansson
Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
-
D.
Marie Kjellson
Marie Kjellson is a Swedish film producer best known for her work on acclaimed art-house and independent films, including Ruben Östlund’s "Force Majeure."
-
E.
Greta Lundgren
Greta Lundgren is a daughter of Swedish actor and martial artist Dolph Lundgren.
- 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: Greta Granstedt Triple: [The Crooked Way, stars, Greta Granstedt]
Generated description
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.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Greta Granstedt Target entity description: 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.
-
A.
Greta Lindström
Greta Lindström is a Swedish actress known for her roles in early 20th-century Scandinavian cinema.
-
B.
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.
-
C.
Karin Hansson
Karin Hansson is known primarily as the daughter of Swedish Prime Minister Per Albin Hansson.
-
D.
Marie Kjellson
Marie Kjellson is a Swedish film producer best known for her work on acclaimed art-house and independent films, including Ruben Östlund’s "Force Majeure."
-
E.
Greta Lundgren
Greta Lundgren is a daughter of Swedish actor and martial artist Dolph Lundgren.
- 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_69d8838db21081909589220fd71440a4 |
completed | April 10, 2026, 4:58 a.m. |
| NER | Named-entity recognition | batch_69e3832f550c8190bf7514d4611dec6a |
completed | April 18, 2026, 1:12 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a009d36aa90819090b738c1c94dcb9f |
completed | May 10, 2026, 2:59 p.m. |
| NEDg | Description generation | batch_6a009ea84de48190981344e3592acd71 |
completed | May 10, 2026, 3:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a009f049a9c81909c37f2340cd78b3f |
completed | May 10, 2026, 3:06 p.m. |
Created at: April 10, 2026, 5:19 a.m.