Triple
T7534678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | George Dern |
E178116
|
entity |
| Predicate | spouse |
P13
|
FINISHED |
| Object |
Charlotte Brown
Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
|
E676864
|
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: Charlotte Brown | Statement: [George Dern, spouse, Charlotte Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Charlotte Brown Context triple: [George Dern, spouse, Charlotte Brown]
-
A.
Georgia Brown
Georgia Brown is the child of American filmmaker Noah Baumbach.
-
B.
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!".
-
C.
Rachel Brown
Rachel Brown is a central fictional character in the play "Inherit the Wind," portrayed as a conflicted young schoolteacher torn between her religious upbringing and her sympathy for the accused teacher in the evolution trial.
-
D.
Charlotte Moorman
Charlotte Moorman was an avant-garde American cellist and performance artist known for her experimental collaborations and boundary-pushing multimedia performances.
-
E.
Beth Brown
Beth Brown is a screenwriter known for her work on the film "Applause."
- 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: Charlotte Brown Triple: [George Dern, spouse, Charlotte Brown]
Generated description
Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Charlotte Brown Target entity description: Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
-
A.
Georgia Brown
Georgia Brown is the child of American filmmaker Noah Baumbach.
-
B.
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!".
-
C.
Rachel Brown
Rachel Brown is a central fictional character in the play "Inherit the Wind," portrayed as a conflicted young schoolteacher torn between her religious upbringing and her sympathy for the accused teacher in the evolution trial.
-
D.
Charlotte Moorman
Charlotte Moorman was an avant-garde American cellist and performance artist known for her experimental collaborations and boundary-pushing multimedia performances.
-
E.
Beth Brown
Beth Brown is a screenwriter known for her work on the film "Applause."
- 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_69c69f2acdbc8190b5a8320168c1d0ba |
completed | March 27, 2026, 3:15 p.m. |
| NER | Named-entity recognition | batch_69c6f84a9d28819084ebfc44fcb2c29c |
completed | March 27, 2026, 9:36 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69c86834713481908400504fb7b49068 |
completed | March 28, 2026, 11:45 p.m. |
| NEDg | Description generation | batch_69c8699f5c008190be32da0a096cbb29 |
completed | March 28, 2026, 11:51 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69c86abe53b08190b9fbd17d83cbe7c3 |
completed | March 28, 2026, 11:56 p.m. |
Created at: March 27, 2026, 3:47 p.m.