Triple
T11747685
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Official Secrets |
E279325
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Sara Bernstein
Sara Bernstein is a screenwriter known for her work on the political thriller film "Official Secrets."
|
E985903
|
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: Sara Bernstein | Statement: [Official Secrets, screenwriter, Sara Bernstein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Sara Bernstein Context triple: [Official Secrets, screenwriter, Sara Bernstein]
-
A.
Barbara Bernstein
Barbara Bernstein is one of the daughters of actress and singer Florence Henderson, best known for her iconic role as Carol Brady on the television series "The Brady Bunch."
-
B.
Nina Bernstein
Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
-
C.
Nina Bernstein
Nina Bernstein is an American journalist best known for her investigative reporting on social justice, immigration, and child welfare for The New York Times.
-
D.
Freda Bernstein
Freda Bernstein was the wife of British composer Lennox Berkeley and a figure associated with his personal and musical life.
-
E.
Diana Bernstein
Diana Bernstein is known primarily as the spouse of the late American screenwriter Walter Bernstein.
- 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: Sara Bernstein Triple: [Official Secrets, screenwriter, Sara Bernstein]
Generated description
Sara Bernstein is a screenwriter known for her work on the political thriller film "Official Secrets."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Sara Bernstein Target entity description: Sara Bernstein is a screenwriter known for her work on the political thriller film "Official Secrets."
-
A.
Barbara Bernstein
Barbara Bernstein is one of the daughters of actress and singer Florence Henderson, best known for her iconic role as Carol Brady on the television series "The Brady Bunch."
-
B.
Nina Bernstein
Nina Bernstein is the daughter of renowned American composer and conductor Leonard Bernstein, known for helping preserve and promote her father's musical legacy.
-
C.
Nina Bernstein
Nina Bernstein is an American journalist best known for her investigative reporting on social justice, immigration, and child welfare for The New York Times.
-
D.
Freda Bernstein
Freda Bernstein was the wife of British composer Lennox Berkeley and a figure associated with his personal and musical life.
-
E.
Diana Bernstein
Diana Bernstein is known primarily as the spouse of the late American screenwriter Walter Bernstein.
- 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_69d6ab01038c819080714901502c84fc |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d8a50763a081908597da118bd0a64e |
completed | April 10, 2026, 7:21 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f64b7cc0808190875d36fe978e4326 |
completed | May 2, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69f64c7c5d04819094fcbee0a4b5cbb4 |
completed | May 2, 2026, 7:11 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f64d653b988190b11d061f55ef7192 |
completed | May 2, 2026, 7:15 p.m. |
Created at: April 8, 2026, 9:41 p.m.