Triple
T15435884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Made in America |
E369760
|
entity |
| Predicate | screenwriter |
P2831
|
FINISHED |
| Object |
Marcia Brandwynne
Marcia Brandwynne is a screenwriter best known for her work on the film "Made in America."
|
E1158365
|
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: Marcia Brandwynne | Statement: [Made in America, screenwriter, Marcia Brandwynne]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Marcia Brandwynne Context triple: [Made in America, screenwriter, Marcia Brandwynne]
-
A.
Marcia Reale
Marcia Reale was the royal anthem of the Kingdom of Italy, closely associated with the Italian monarchy and official state ceremonies before the republic was established.
-
B.
Maryann Brandon
Maryann Brandon is a film editor best known for her work on major Hollywood blockbusters, including J.J. Abrams–directed projects such as Star Trek (2009) and several Star Wars films.
-
C.
Marcia Richards
Marcia Richards is a British musician best known as a multi-instrumentalist and vocalist in the London-based reggae and ska band The Skints.
-
D.
Marcia Warren
Marcia Warren is an English actress known for her extensive work in television, film, and theatre, often in comedic and character roles.
-
E.
Marcia Henderson
Marcia Henderson was an American actress known for her work in film, television, and theater during the 1950s and early 1960s.
- 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: Marcia Brandwynne Triple: [Made in America, screenwriter, Marcia Brandwynne]
Generated description
Marcia Brandwynne is a screenwriter best known for her work on the film "Made in America."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Marcia Brandwynne Target entity description: Marcia Brandwynne is a screenwriter best known for her work on the film "Made in America."
-
A.
Marcia Reale
Marcia Reale was the royal anthem of the Kingdom of Italy, closely associated with the Italian monarchy and official state ceremonies before the republic was established.
-
B.
Maryann Brandon
Maryann Brandon is a film editor best known for her work on major Hollywood blockbusters, including J.J. Abrams–directed projects such as Star Trek (2009) and several Star Wars films.
-
C.
Marcia Richards
Marcia Richards is a British musician best known as a multi-instrumentalist and vocalist in the London-based reggae and ska band The Skints.
-
D.
Marcia Warren
Marcia Warren is an English actress known for her extensive work in television, film, and theatre, often in comedic and character roles.
-
E.
Marcia Henderson
Marcia Henderson was an American actress known for her work in film, television, and theater during the 1950s and early 1960s.
- 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_69d85a19180081909925012fbf4e62a3 |
completed | April 10, 2026, 2:02 a.m. |
| NER | Named-entity recognition | batch_69e03edb3ec481908b26164d4470c9bc |
completed | April 16, 2026, 1:43 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ff21a5e55c81909801db54032589ac |
completed | May 9, 2026, 11:59 a.m. |
| NEDg | Description generation | batch_69ff22d425dc8190955f9f6edc952d9c |
completed | May 9, 2026, 12:04 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ff26ef82b8819084f77c6f0aadb8e7 |
completed | May 9, 2026, 12:22 p.m. |
Created at: April 10, 2026, 3:21 a.m.