Triple
T2550447
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Way Down East |
E56611
|
entity |
| Predicate | stars |
P1956
|
FINISHED |
| Object |
Patricia Fruen
Patricia Fruen is an actress known for her role in the film "Way Down East."
|
E373300
|
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: Patricia Fruen | Statement: [Way Down East, stars, Patricia Fruen]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Patricia Fruen Context triple: [Way Down East, stars, Patricia Fruen]
-
A.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
B.
Patricia Dainton
Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
-
C.
Susan Anspach
Susan Anspach was an American actress best known for her roles in influential 1970s films such as "Five Easy Pieces" and "Blume in Love," where she often portrayed complex, independent women.
-
D.
Maryanne Vollers
Maryanne Vollers is an American author, journalist, and ghostwriter known for collaborating on high-profile political and human rights memoirs.
-
E.
Margaret Fink
Margaret Fink is an Australian film producer best known for her work on influential Australian New Wave films, including the acclaimed adaptation of "My Brilliant Career."
- 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: Patricia Fruen Triple: [Way Down East, stars, Patricia Fruen]
Generated description
Patricia Fruen is an actress known for her role in the film "Way Down East."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Patricia Fruen Target entity description: Patricia Fruen is an actress known for her role in the film "Way Down East."
-
A.
Roberta Seidman
Roberta Seidman was the wife of American actor John Garfield, a prominent film star of the 1930s and 1940s.
-
B.
Patricia Dainton
Patricia Dainton was a British film and television actress known for her roles in 1950s and 1960s thrillers and dramas.
-
C.
Susan Anspach
Susan Anspach was an American actress best known for her roles in influential 1970s films such as "Five Easy Pieces" and "Blume in Love," where she often portrayed complex, independent women.
-
D.
Maryanne Vollers
Maryanne Vollers is an American author, journalist, and ghostwriter known for collaborating on high-profile political and human rights memoirs.
-
E.
Margaret Fink
Margaret Fink is an Australian film producer best known for her work on influential Australian New Wave films, including the acclaimed adaptation of "My Brilliant Career."
- 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_69ab4a4bfec081908039988ec4c86e28 |
completed | March 6, 2026, 9:42 p.m. |
| NER | Named-entity recognition | batch_69abd2e930508190a6bc9fc4fa431070 |
completed | March 7, 2026, 7:25 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b432e588308190bd331d7b8776e546 |
completed | March 13, 2026, 3:53 p.m. |
| NEDg | Description generation | batch_69b436c3d6a0819081478d3cafb6f40b |
completed | March 13, 2026, 4:09 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69b43725f4108190b8f19fc730b72d98 |
completed | March 13, 2026, 4:11 p.m. |
Created at: March 6, 2026, 9:48 p.m.