Triple
T16857980
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stig Björkman |
E409836
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Björkman
Björkman is a Swedish surname most notably associated with figures such as filmmaker and writer Stig Björkman.
|
E1236761
|
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: Björkman | Statement: [Stig Björkman, familyName, Björkman]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Björkman Context triple: [Stig Björkman, familyName, Björkman]
-
A.
Larcher
Larcher is a French surname most notably borne by Gérard Larcher, a prominent French politician and long-serving President of the Senate.
-
B.
Reinart
Reinart is a given name and surname, primarily of Germanic origin, that appears as a variant spelling of Reinhart.
-
C.
Terry Bogard
Terry Bogard is a popular fighting game character from SNK, known for his red cap, sleeveless jacket, and role as a central hero in both the Fatal Fury and The King of Fighters series.
-
D.
Jan Rydberg
Jan Rydberg is a nuclear chemist known for his contributions to actinide and lanthanide chemistry and co-authorship of influential texts in the field.
-
E.
Sylvester Groth
Sylvester Groth is a German actor known for his work in film, television, and theater, including roles in historical dramas and international productions.
- 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: Björkman Triple: [Stig Björkman, familyName, Björkman]
Generated description
Björkman is a Swedish surname most notably associated with figures such as filmmaker and writer Stig Björkman.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Björkman Target entity description: Björkman is a Swedish surname most notably associated with figures such as filmmaker and writer Stig Björkman.
-
A.
Larcher
Larcher is a French surname most notably borne by Gérard Larcher, a prominent French politician and long-serving President of the Senate.
-
B.
Reinart
Reinart is a given name and surname, primarily of Germanic origin, that appears as a variant spelling of Reinhart.
-
C.
Terry Bogard
Terry Bogard is a popular fighting game character from SNK, known for his red cap, sleeveless jacket, and role as a central hero in both the Fatal Fury and The King of Fighters series.
-
D.
Jan Rydberg
Jan Rydberg is a nuclear chemist known for his contributions to actinide and lanthanide chemistry and co-authorship of influential texts in the field.
-
E.
Sylvester Groth
Sylvester Groth is a German actor known for his work in film, television, and theater, including roles in historical dramas and international productions.
- 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_69d88395e6c88190b22730f335107c14 |
completed | April 10, 2026, 4:59 a.m. |
| NER | Named-entity recognition | batch_69e3b37ef4748190b149d98fc0ab4205 |
completed | April 18, 2026, 4:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a00bb25300c8190a352037c21c244bd |
completed | May 10, 2026, 5:06 p.m. |
| NEDg | Description generation | batch_6a00bbc80d54819092de4ee363508b49 |
completed | May 10, 2026, 5:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a00bc633abc8190a86808986ba294ec |
completed | May 10, 2026, 5:12 p.m. |
Created at: April 10, 2026, 5:24 a.m.