Triple
T8020119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The General’s Daughter |
E186718
|
entity |
| Predicate | producer |
P490
|
FINISHED |
| Object | Armyan Bernstein |
E269501
|
NE FINISHED |
How this triple was built (2 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: Armyan Bernstein | Statement: [The General’s Daughter, producer, Armyan Bernstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Armyan Bernstein Context triple: [The General’s Daughter, producer, Armyan Bernstein]
-
A.
Armyan Bernstein
chosen
Armyan Bernstein is an American film producer, screenwriter, and co-founder of Beacon Pictures, known for producing a range of notable Hollywood films.
-
B.
Joseph Bernstein
Joseph Bernstein is a prominent mathematician known for his influential work in representation theory, algebraic geometry, and number theory.
-
C.
Alexander Bernstein
Alexander Bernstein is an American educator and arts advocate, best known as the son of renowned composer and conductor Leonard Bernstein.
-
D.
Walter Bernstein
Walter Bernstein was an American screenwriter and journalist known for his work in film and television and for being blacklisted during the McCarthy era.
-
E.
Steven Bernstein
Steven Bernstein is a cinematographer and film director known for his work on feature films such as the comedy "White Chicks."
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ca82ac7fc081909b1398cf025423af |
completed | March 30, 2026, 2:03 p.m. |
| NER | Named-entity recognition | batch_69cb3e8bc90081909f6f5878e6f1f241 |
completed | March 31, 2026, 3:24 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cc56c82824819082e93eddc40bfad1 |
completed | March 31, 2026, 11:20 p.m. |
Created at: March 30, 2026, 5:20 p.m.