Triple
T18597635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ekstra Bladet |
E454533
|
entity |
| Predicate | foundedBy |
P104
|
FINISHED |
| Object |
Carl Aller
Carl Aller was a Danish publisher best known for establishing influential newspapers and magazines, including the tabloid Ekstra Bladet.
|
E1333052
|
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: Carl Aller | Statement: [Ekstra Bladet, foundedBy, Carl Aller]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carl Aller Context triple: [Ekstra Bladet, foundedBy, Carl Aller]
-
A.
Greg Aldering
Greg Aldering is an American astrophysicist known for his work on observational cosmology and supernovae, particularly in studies of the accelerating expansion of the universe.
-
B.
Arthur Carlson
Arthur Carlson is a bumbling yet endearing radio station manager character from the WKRP in Cincinnati television franchise.
-
C.
Carl Erickson
Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
-
D.
Arthur Cronquist
Arthur Cronquist was an influential American botanist best known for developing a widely used classification system for flowering plants.
-
E.
Michael Alldredge
Michael Alldredge was an American character actor known for his supporting roles in films and television during the 1970s and 1980s.
- 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: Carl Aller Triple: [Ekstra Bladet, foundedBy, Carl Aller]
Generated description
Carl Aller was a Danish publisher best known for establishing influential newspapers and magazines, including the tabloid Ekstra Bladet.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carl Aller Target entity description: Carl Aller was a Danish publisher best known for establishing influential newspapers and magazines, including the tabloid Ekstra Bladet.
-
A.
Greg Aldering
Greg Aldering is an American astrophysicist known for his work on observational cosmology and supernovae, particularly in studies of the accelerating expansion of the universe.
-
B.
Arthur Carlson
Arthur Carlson is a bumbling yet endearing radio station manager character from the WKRP in Cincinnati television franchise.
-
C.
Carl Erickson
Carl Erickson was an American screenwriter active in early 20th-century Hollywood, known for his work on several studio films during the 1930s.
-
D.
Arthur Cronquist
Arthur Cronquist was an influential American botanist best known for developing a widely used classification system for flowering plants.
-
E.
Michael Alldredge
Michael Alldredge was an American character actor known for his supporting roles in films and television during the 1970s and 1980s.
- 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_69d8d38ae7e081908a98df1251842402 |
completed | April 10, 2026, 10:40 a.m. |
| NER | Named-entity recognition | batch_69e5474d934481909b4afd5ef9031c73 |
completed | April 19, 2026, 9:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a05037eda788190977fcb50aa4d2357 |
completed | May 13, 2026, 11:04 p.m. |
| NEDg | Description generation | batch_6a0504cd76388190b67c78250297573d |
completed | May 13, 2026, 11:10 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0505482c588190952fe07726f64b93 |
completed | May 13, 2026, 11:12 p.m. |
Created at: April 10, 2026, 11:44 a.m.