Triple
T16453789
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cici and Hyatt Brown Museum of Art |
E399620
|
entity |
| Predicate | namedAfter |
P63
|
FINISHED |
| Object |
Cici Brown
Cici Brown is a prominent American philanthropist and arts patron whose support and contributions to the visual arts led to a major museum bearing her name.
|
E1215043
|
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: Cici Brown | Statement: [Cici and Hyatt Brown Museum of Art, namedAfter, Cici Brown]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Cici Brown Context triple: [Cici and Hyatt Brown Museum of Art, namedAfter, Cici Brown]
-
A.
Sunshine Kiki Brown
Sunshine Kiki Brown is an American shoe designer and the wife of actor Clayne Crawford.
-
B.
Ami Brown
Ami Brown is a screenwriter best known for her work on the romantic comedy film "The Perfect Holiday."
-
C.
Mimi Craven
Mimi Craven is an American actress and former wife of horror filmmaker Wes Craven, known for her roles in film and television during the 1980s and 1990s.
-
D.
Charlotte Brown
Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
-
E.
Tiana Brown
Tiana Brown is a fictional pop and R&B singer and performer from the television series "Empire," known for her ambitious career and tumultuous relationship with Andre Lyon.
- 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: Cici Brown Triple: [Cici and Hyatt Brown Museum of Art, namedAfter, Cici Brown]
Generated description
Cici Brown is a prominent American philanthropist and arts patron whose support and contributions to the visual arts led to a major museum bearing her name.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Cici Brown Target entity description: Cici Brown is a prominent American philanthropist and arts patron whose support and contributions to the visual arts led to a major museum bearing her name.
-
A.
Sunshine Kiki Brown
Sunshine Kiki Brown is an American shoe designer and the wife of actor Clayne Crawford.
-
B.
Ami Brown
Ami Brown is a screenwriter best known for her work on the romantic comedy film "The Perfect Holiday."
-
C.
Mimi Craven
Mimi Craven is an American actress and former wife of horror filmmaker Wes Craven, known for her roles in film and television during the 1980s and 1990s.
-
D.
Charlotte Brown
Charlotte Brown was the wife of American politician and former U.S. Secretary of War George Dern.
-
E.
Tiana Brown
Tiana Brown is a fictional pop and R&B singer and performer from the television series "Empire," known for her ambitious career and tumultuous relationship with Andre Lyon.
- 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_69d87f2c6778819080fcfae53be8f12a |
completed | April 10, 2026, 4:40 a.m. |
| NER | Named-entity recognition | batch_69e32ce259d88190803930051409d72c |
completed | April 18, 2026, 7:04 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a004f4e31a08190b121d0cfe2a406c2 |
completed | May 10, 2026, 9:26 a.m. |
| NEDg | Description generation | batch_6a00513b6fcc8190a548b30cb7b4b67f |
completed | May 10, 2026, 9:34 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0051def1d48190b40f55c40ab269d2 |
completed | May 10, 2026, 9:37 a.m. |
Created at: April 10, 2026, 5:10 a.m.