Triple
T20996381
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Barry Lyndon |
E517159
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Diana Koerner
Diana Koerner is a German actress best known internationally for her role in Stanley Kubrick’s period drama film "Barry Lyndon."
|
E1462082
|
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: Diana Koerner | Statement: [Barry Lyndon, stars, Diana Koerner]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Diana Koerner Context triple: [Barry Lyndon, stars, Diana Koerner]
-
A.
Nina Kogan
Nina Kogan was a Russian avant-garde painter and designer associated with the Suprematist movement in the early 20th century.
-
B.
Catherine Petkoff
Catherine Petkoff is a wealthy, socially ambitious Bulgarian matron in George Bernard Shaw’s play "Arms and the Man," known for her comic pretensions and concern with status.
-
C.
Tatiana Javorsky
Tatiana Javorsky was the wife of American broadcast journalist Charles Collingwood.
-
D.
Anna Drubich
Anna Drubich is a film composer known for her work on horror and genre movies, including scoring the Netflix film "Fear Street Part Three: 1666."
-
E.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
- 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: Diana Koerner Triple: [Barry Lyndon, stars, Diana Koerner]
Generated description
Diana Koerner is a German actress best known internationally for her role in Stanley Kubrick’s period drama film "Barry Lyndon."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Diana Koerner Target entity description: Diana Koerner is a German actress best known internationally for her role in Stanley Kubrick’s period drama film "Barry Lyndon."
-
A.
Nina Kogan
Nina Kogan was a Russian avant-garde painter and designer associated with the Suprematist movement in the early 20th century.
-
B.
Catherine Petkoff
Catherine Petkoff is a wealthy, socially ambitious Bulgarian matron in George Bernard Shaw’s play "Arms and the Man," known for her comic pretensions and concern with status.
-
C.
Tatiana Javorsky
Tatiana Javorsky was the wife of American broadcast journalist Charles Collingwood.
-
D.
Anna Drubich
Anna Drubich is a film composer known for her work on horror and genre movies, including scoring the Netflix film "Fear Street Part Three: 1666."
-
E.
Tatiana Schlossberg
Tatiana Schlossberg is an American journalist and author, known for her environmental reporting and as a member of the Kennedy family.
- 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_69e0b5006e2881909fc2383f841740cc |
completed | April 16, 2026, 10:08 a.m. |
| NER | Named-entity recognition | batch_69e6fc21838081909872eed21bc12a08 |
completed | April 21, 2026, 4:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a093b4fd8748190b90a50feac5c7517 |
completed | May 17, 2026, 3:51 a.m. |
| NEDg | Description generation | batch_6a093f361a288190bc373e95f7e9dd63 |
completed | May 17, 2026, 4:08 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a093fa8a998819080a96e67d34a5f52 |
completed | May 17, 2026, 4:10 a.m. |
Created at: April 16, 2026, 1:50 p.m.