Triple
T3376780
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Osterman Weekend |
E71083
|
entity |
| Predicate | starring |
P1507
|
FINISHED |
| Object |
Helen Shaver
Helen Shaver is a Canadian actress and director known for her work in film and television since the 1970s, including prominent roles in thrillers and dramas.
|
E385395
|
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: Helen Shaver | Statement: [The Osterman Weekend, starring, Helen Shaver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Helen Shaver Context triple: [The Osterman Weekend, starring, Helen Shaver]
-
A.
Betty Reynolds
Betty Reynolds is the daughter of Canadian actor Ryan Reynolds and American actress Blake Lively.
-
B.
Lela Rogers
Lela Rogers was an American journalist, screenwriter, and acting coach best known as the mother and early career mentor of Hollywood star Ginger Rogers.
-
C.
Verna Felton
Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
-
D.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
-
E.
Norma Shepherd
Norma Shepherd was the wife of renowned film composer Bernard Herrmann, known primarily in relation to his personal life.
- 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: Helen Shaver Triple: [The Osterman Weekend, starring, Helen Shaver]
Generated description
Helen Shaver is a Canadian actress and director known for her work in film and television since the 1970s, including prominent roles in thrillers and dramas.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Helen Shaver Target entity description: Helen Shaver is a Canadian actress and director known for her work in film and television since the 1970s, including prominent roles in thrillers and dramas.
-
A.
Betty Reynolds
Betty Reynolds is the daughter of Canadian actor Ryan Reynolds and American actress Blake Lively.
-
B.
Lela Rogers
Lela Rogers was an American journalist, screenwriter, and acting coach best known as the mother and early career mentor of Hollywood star Ginger Rogers.
-
C.
Verna Felton
Verna Felton was an American character actress and voice performer best known for her memorable roles in classic Disney animated films.
-
D.
June Mulgrew
June Mulgrew is a New Zealand woman best known as the second wife of famed mountaineer Sir Edmund Hillary.
-
E.
Norma Shepherd
Norma Shepherd was the wife of renowned film composer Bernard Herrmann, known primarily in relation to his personal life.
- 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_69ad85a7f80c8190a05e43013f298942 |
completed | March 8, 2026, 2:20 p.m. |
| NER | Named-entity recognition | batch_69adb2e776508190bc123fb17b36f062 |
completed | March 8, 2026, 5:33 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b4e4d1c7188190b0f98fdc51e6684a |
completed | March 14, 2026, 4:32 a.m. |
| NEDg | Description generation | batch_69b4e57a8e08819099f94731af4472a3 |
completed | March 14, 2026, 4:35 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b4e60d2224819081b7a95592f1fd74 |
completed | March 14, 2026, 4:37 a.m. |
Created at: March 8, 2026, 3:13 p.m.