Triple
T13003754
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mikael Blomkvist |
E322233
|
entity |
| Predicate | closeColleague |
P11349
|
FINISHED |
| Object |
Erika Berger
Erika Berger is a prominent magazine editor and Mikael Blomkvist’s longtime professional and romantic partner in Stieg Larsson’s Millennium series.
|
E1055932
|
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: Erika Berger | Statement: [Mikael Blomkvist, closeColleague, Erika Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Erika Berger Context triple: [Mikael Blomkvist, closeColleague, Erika Berger]
-
A.
Erika Peters
Erika Peters is a German-born actress known for her film and television work in the 1950s and 1960s.
-
B.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
C.
Erika Eleniak
Erika Eleniak is an American actress and former Playboy Playmate best known for her roles in the TV series "Baywatch" and films such as "Under Siege."
-
D.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
E.
Erika Ender
Erika Ender is a Panamanian-American singer-songwriter and producer best known as one of the co-writers of the global hit song "Despacito."
- 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: Erika Berger Triple: [Mikael Blomkvist, closeColleague, Erika Berger]
Generated description
Erika Berger is a prominent magazine editor and Mikael Blomkvist’s longtime professional and romantic partner in Stieg Larsson’s Millennium series.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Erika Berger Target entity description: Erika Berger is a prominent magazine editor and Mikael Blomkvist’s longtime professional and romantic partner in Stieg Larsson’s Millennium series.
-
A.
Erika Peters
Erika Peters is a German-born actress known for her film and television work in the 1950s and 1960s.
-
B.
Lisa Eilbacher
Lisa Eilbacher is an American actress best known for her roles in 1980s films and television series, including prominent appearances in action and drama movies.
-
C.
Erika Eleniak
Erika Eleniak is an American actress and former Playboy Playmate best known for her roles in the TV series "Baywatch" and films such as "Under Siege."
-
D.
Stefanie Ehrlich
Stefanie Ehrlich is known as a child of the prominent American biologist and author Paul Ehrlich.
-
E.
Erika Ender
Erika Ender is a Panamanian-American singer-songwriter and producer best known as one of the co-writers of the global hit song "Despacito."
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9a2a448190968833354280e474 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f7941e0560819080eee43a9ed0e1bb |
completed | May 3, 2026, 6:29 p.m. |
| NEDg | Description generation | batch_69f798aab9c48190acaa78864e89411f |
completed | May 3, 2026, 6:49 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f79943e4f4819098fa82cb6a32e08a |
completed | May 3, 2026, 6:51 p.m. |
Created at: April 9, 2026, 8:47 p.m.