Triple
T6579119
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Carmelina |
E157245
|
entity |
| Predicate | starred |
P5563
|
FINISHED |
| Object |
Georgia Brown
Georgia Brown was a British singer and actress best known for originating the role of Nancy in the London production of the musical "Oliver!".
|
E603922
|
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: Georgia Brown | Statement: [Carmelina, starred, Georgia Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Georgia Brown Context triple: [Carmelina, starred, Georgia Brown]
-
A.
Georgia Brown
Georgia Brown is the child of American filmmaker Noah Baumbach.
-
B.
Beth Brown
Beth Brown is a screenwriter known for her work on the film "Applause."
-
C.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
-
D.
Mary Brewster
Mary Brewster was a social reformer and nurse best known as a co-founder of New York City's pioneering Henry Street Settlement, which provided social services and healthcare to impoverished communities.
-
E.
Mary Robbins
Mary Robbins is known as the mother of American actor and filmmaker Tim Robbins.
- 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: Georgia Brown Triple: [Carmelina, starred, Georgia Brown]
Generated description
Georgia Brown was a British singer and actress best known for originating the role of Nancy in the London production of the musical "Oliver!".
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Georgia Brown Target entity description: Georgia Brown was a British singer and actress best known for originating the role of Nancy in the London production of the musical "Oliver!".
-
A.
Georgia Brown
Georgia Brown is the child of American filmmaker Noah Baumbach.
-
B.
Beth Brown
Beth Brown is a screenwriter known for her work on the film "Applause."
-
C.
Emmy Brown
Emmy Brown is a character in the 1941 romantic drama film "Hold Back the Dawn," serving as part of the story’s emotional and narrative development.
-
D.
Mary Brewster
Mary Brewster was a social reformer and nurse best known as a co-founder of New York City's pioneering Henry Street Settlement, which provided social services and healthcare to impoverished communities.
-
E.
Mary Robbins
Mary Robbins is known as the mother of American actor and filmmaker Tim Robbins.
- 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_69c6882b3a108190b3a9eb343ae4162c |
completed | March 27, 2026, 1:37 p.m. |
| NER | Named-entity recognition | batch_69c6ae8dad608190b4708368a7af6e5d |
completed | March 27, 2026, 4:21 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c6d56fe8f08190ad30773f29b207c5 |
completed | March 27, 2026, 7:07 p.m. |
| NEDg | Description generation | batch_69c6d828620081909c1b4dfaa96efd62 |
completed | March 27, 2026, 7:19 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c6d8a3d194819080f33e179a8a8679 |
completed | March 27, 2026, 7:21 p.m. |
Created at: March 27, 2026, 1:54 p.m.