Triple
T8441458
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Scarlett Johansson |
E199359
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Johansson
Johansson is a common Swedish surname notably borne by American actress Scarlett Johansson.
|
E734501
|
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: Johansson | Statement: [Scarlett Johansson, familyName, Johansson]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johansson Context triple: [Scarlett Johansson, familyName, Johansson]
-
A.
Lundgren
Lundgren is a Swedish surname borne by various notable individuals in fields such as politics, sports, and entertainment.
-
B.
Kim Johnsson
Kim Johnsson is a Swedish former professional ice hockey defenseman who played in the NHL for teams including the New York Rangers, Philadelphia Flyers, Minnesota Wild, and Chicago Blackhawks.
-
C.
Gardell
Gardell is a Swedish surname most notably associated with comedian, author, and playwright Jonas Gardell.
-
D.
Johnsson
Johnsson is a Scandinavian surname, most commonly found in Sweden, that is a patronymic variant of the name Johnson.
-
E.
Jessa Johansson
Jessa Johansson is a free-spirited, impulsive, and often self-destructive young woman from the television series "Girls," known for her bohemian lifestyle and complicated relationships.
- 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: Johansson Triple: [Scarlett Johansson, familyName, Johansson]
Generated description
Johansson is a common Swedish surname notably borne by American actress Scarlett Johansson.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johansson Target entity description: Johansson is a common Swedish surname notably borne by American actress Scarlett Johansson.
-
A.
Lundgren
Lundgren is a Swedish surname borne by various notable individuals in fields such as politics, sports, and entertainment.
-
B.
Kim Johnsson
Kim Johnsson is a Swedish former professional ice hockey defenseman who played in the NHL for teams including the New York Rangers, Philadelphia Flyers, Minnesota Wild, and Chicago Blackhawks.
-
C.
Gardell
Gardell is a Swedish surname most notably associated with comedian, author, and playwright Jonas Gardell.
-
D.
Johnsson
Johnsson is a Scandinavian surname, most commonly found in Sweden, that is a patronymic variant of the name Johnson.
-
E.
Jessa Johansson
Jessa Johansson is a free-spirited, impulsive, and often self-destructive young woman from the television series "Girls," known for her bohemian lifestyle and complicated relationships.
- 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_69ca8314cd6c8190a6b8c2a1096e18f3 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbe138a94081908e306d22aaa39b24 |
completed | March 31, 2026, 2:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce1d9ab3a88190ada7741cf054fc1b |
completed | April 2, 2026, 7:41 a.m. |
| NEDg | Description generation | batch_69ce203a4c9481909292f540521644cb |
completed | April 2, 2026, 7:52 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce20bcf5b48190b2b60b88566d5d1c |
completed | April 2, 2026, 7:54 a.m. |
Created at: March 30, 2026, 6:08 p.m.