Triple
T10285217
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Anne of the Thousand Days |
E241209
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Richard Sokolove
Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
|
E899147
|
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: Richard Sokolove | Statement: [Anne of the Thousand Days, screenwriter, Richard Sokolove]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Richard Sokolove Context triple: [Anne of the Thousand Days, screenwriter, Richard Sokolove]
-
A.
Michael Sokolove
Michael Sokolove is an American journalist and nonfiction author known for his in-depth sports and cultural reporting and narrative books.
-
B.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
C.
Will Kopelman
Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
-
D.
Glen Sobel
Glen Sobel is an American rock drummer best known for his work with Alice Cooper and various high-profile hard rock and metal acts.
-
E.
Sam Levenson
Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
- 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: Richard Sokolove Triple: [Anne of the Thousand Days, screenwriter, Richard Sokolove]
Generated description
Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Richard Sokolove Target entity description: Richard Sokolove is a screenwriter best known for his work on the historical drama film "Anne of the Thousand Days."
-
A.
Michael Sokolove
Michael Sokolove is an American journalist and nonfiction author known for his in-depth sports and cultural reporting and narrative books.
-
B.
Douglas Meyer
Douglas Meyer is a theatrical producer best known for his work on the Broadway musical adaptation of "The Wedding Singer."
-
C.
Will Kopelman
Will Kopelman is an American art consultant and former actor best known for his high-profile marriage to actress Drew Barrymore.
-
D.
Glen Sobel
Glen Sobel is an American rock drummer best known for his work with Alice Cooper and various high-profile hard rock and metal acts.
-
E.
Sam Levenson
Sam Levenson was an American humorist, writer, and television host known for his warm, family-centered Jewish humor and popular books such as "Everything But Money."
- 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_69d381aaafc08190af475ef58dc16aba |
completed | April 6, 2026, 9:49 a.m. |
| NER | Named-entity recognition | batch_69d4d2b737788190bfadd0d48ad38f5b |
completed | April 7, 2026, 9:47 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e3734e5e688190bbfa472547ef65e8 |
completed | April 18, 2026, 12:04 p.m. |
| NEDg | Description generation | batch_69e378dcc92c8190952d4acfee2a309c |
completed | April 18, 2026, 12:28 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e37be75a588190abb9569ef1e87279 |
completed | April 18, 2026, 12:41 p.m. |
Created at: April 6, 2026, 11:40 a.m.