Triple
T16106026
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Saving Face |
E390739
|
entity |
| Predicate | editedBy |
P1954
|
FINISHED |
| Object |
Susan Graef
Susan Graef is a film editor known for her work on the movie "Saving Face."
|
E1225593
|
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: Susan Graef | Statement: [Saving Face, editedBy, Susan Graef]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Susan Graef Context triple: [Saving Face, editedBy, Susan Graef]
-
A.
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.
-
B.
Ellen Benrath
Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
-
C.
Erika Peters
Erika Peters is a German-born actress known for her film and television work in the 1950s and 1960s.
-
D.
Gretchen Kafoury
Gretchen Kafoury was an influential Portland, Oregon politician and activist known for her work on housing, social justice, and women's rights.
-
E.
Sonya Walger
Sonya Walger is a British actress best known for her roles in television series such as "Lost," "FlashForward," and "For All Mankind."
- 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: Susan Graef Triple: [Saving Face, editedBy, Susan Graef]
Generated description
Susan Graef is a film editor known for her work on the movie "Saving Face."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Susan Graef Target entity description: Susan Graef is a film editor known for her work on the movie "Saving Face."
-
A.
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.
-
B.
Ellen Benrath
Ellen Benrath is known primarily as the wife of German actor Martin Benrath.
-
C.
Erika Peters
Erika Peters is a German-born actress known for her film and television work in the 1950s and 1960s.
-
D.
Gretchen Kafoury
Gretchen Kafoury was an influential Portland, Oregon politician and activist known for her work on housing, social justice, and women's rights.
-
E.
Sonya Walger
Sonya Walger is a British actress best known for her roles in television series such as "Lost," "FlashForward," and "For All Mankind."
- 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_69d87f1a8dd881909f1de6ef78849874 |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e1ff6d81d081909e1315f4dbfd7369 |
completed | April 17, 2026, 9:37 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0084a6d6308190ad57a51b380171a2 |
completed | May 10, 2026, 1:14 p.m. |
| NEDg | Description generation | batch_6a00851cc9a08190a587bd5951e4d5e0 |
completed | May 10, 2026, 1:16 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0085e4b6ec81908383085ff08f0dce |
completed | May 10, 2026, 1:19 p.m. |
Created at: April 10, 2026, 5 a.m.