Triple
T20491724
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Berglund |
E502760
|
entity |
| Predicate | hasNotableBearer |
P458
|
FINISHED |
| Object |
Barbara Berglund
Barbara Berglund is a historian and author known for her work on the cultural and social history of the American West and San Francisco.
|
E1439837
|
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: Barbara Berglund | Statement: [Berglund, hasNotableBearer, Barbara Berglund]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Barbara Berglund Context triple: [Berglund, hasNotableBearer, Barbara Berglund]
-
A.
Barbara Blomberg
Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
-
B.
Barbara Henning
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
-
C.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
D.
Barbara Gest
Barbara Gest is a relative of the late American producer and television personality David Gest.
-
E.
Rena Lundigan
Rena Lundigan is best known as the wife of American film and television actor William Lundigan.
- 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: Barbara Berglund Triple: [Berglund, hasNotableBearer, Barbara Berglund]
Generated description
Barbara Berglund is a historian and author known for her work on the cultural and social history of the American West and San Francisco.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Barbara Berglund Target entity description: Barbara Berglund is a historian and author known for her work on the cultural and social history of the American West and San Francisco.
-
A.
Barbara Blomberg
Barbara Blomberg was a 16th-century German woman best known as the mistress of Holy Roman Emperor Charles V and the mother of his illegitimate son, John of Austria (the Elder).
-
B.
Barbara Henning
Barbara Henning is a fictional character portrayed by actress Robin McLeavy.
-
C.
Annette Stroyberg
Annette Stroyberg was a Danish actress and model best known for her roles in European films of the late 1950s and 1960s.
-
D.
Barbara Gest
Barbara Gest is a relative of the late American producer and television personality David Gest.
-
E.
Rena Lundigan
Rena Lundigan is best known as the wife of American film and television actor William Lundigan.
- 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_69e0b4b0373881909dd3e9387f82eab4 |
completed | April 16, 2026, 10:06 a.m. |
| NER | Named-entity recognition | batch_69e69cba5b708190bef437acf6321b81 |
completed | April 20, 2026, 9:38 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a08b3d832a081909ec4036a5d81d259 |
completed | May 16, 2026, 6:13 p.m. |
| NEDg | Description generation | batch_6a08b4654cd48190bbde86df2877d058 |
completed | May 16, 2026, 6:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a08b4cb2fc081909ef18cb0408ac76d |
completed | May 16, 2026, 6:17 p.m. |
Created at: April 16, 2026, 11:35 a.m.