Triple
T13071999
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | No Reservations |
E329479
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Carol Fuchs
Carol Fuchs is an American screenwriter best known for her work on romantic comedies, including the film "No Reservations."
|
E1047538
|
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: Carol Fuchs | Statement: [No Reservations, screenwriter, Carol Fuchs]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Carol Fuchs Context triple: [No Reservations, screenwriter, Carol Fuchs]
-
A.
Barbara Fuchs
Barbara Fuchs is a literary scholar known for her work on early modern Spanish and English literature, translation, and cultural exchange.
-
B.
Elisabeth Fuchs
Elisabeth Fuchs is an Austrian conductor known for her work with orchestras and choirs, particularly in Salzburg.
-
C.
Elizabeth Hofmann
Elizabeth Hofmann is known as the spouse of American glass artist and sculptor Dan Dailey.
-
D.
Anna Friedlander
Anna Friedlander is known as the daughter of influential American photographer Lee Friedlander.
-
E.
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.
- 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: Carol Fuchs Triple: [No Reservations, screenwriter, Carol Fuchs]
Generated description
Carol Fuchs is an American screenwriter best known for her work on romantic comedies, including the film "No Reservations."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Carol Fuchs Target entity description: Carol Fuchs is an American screenwriter best known for her work on romantic comedies, including the film "No Reservations."
-
A.
Barbara Fuchs
Barbara Fuchs is a literary scholar known for her work on early modern Spanish and English literature, translation, and cultural exchange.
-
B.
Elisabeth Fuchs
Elisabeth Fuchs is an Austrian conductor known for her work with orchestras and choirs, particularly in Salzburg.
-
C.
Elizabeth Hofmann
Elizabeth Hofmann is known as the spouse of American glass artist and sculptor Dan Dailey.
-
D.
Anna Friedlander
Anna Friedlander is known as the daughter of influential American photographer Lee Friedlander.
-
E.
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.
- 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_69d80771749c81909a6d9197b9504872 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d980ee6130819095d835e7ff6a8c5b |
completed | April 10, 2026, 10:59 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f75d7cfe24819096e8f4cd496a6fd7 |
completed | May 3, 2026, 2:36 p.m. |
| NEDg | Description generation | batch_69f7614fbe8c8190b4a32b129c64d6b0 |
completed | May 3, 2026, 2:53 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69f761a9e7448190835cfff6a1ad6405 |
completed | May 3, 2026, 2:54 p.m. |
Created at: April 9, 2026, 9 p.m.