Triple
T10944912
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Georgia |
E258568
|
entity |
| Predicate | associatedWith |
P37
|
FINISHED |
| Object |
Ali Rose
Ali Rose is an American model and actress known for her work in fashion and appearances in film and television.
|
E895588
|
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: Ali Rose | Statement: [Georgia, associatedWith, Ali Rose]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Ali Rose Context triple: [Georgia, associatedWith, Ali Rose]
-
A.
Ali Rose
Ali Rose is the ambitious small-town singer and dancer who becomes the central star of the Los Angeles burlesque club in the film "Burlesque."
-
B.
Aaron Rose
Aaron Rose was an early settler and prominent pioneer whose contributions to the region led to the city of Roseburg, Oregon being named in his honor.
-
C.
Chris Rose
Chris Rose is an American sportscaster best known for his long-running work as a baseball studio host and commentator, including on MLB Network.
-
D.
Kelly Robinson
Kelly Robinson is a suave, quick-witted American secret agent who poses as a professional tennis player in the 1960s television series "I Spy."
-
E.
Sean Bridgers
Sean Bridgers is an American actor and screenwriter known for his character roles in film and television, including appearances in projects like Deadwood and various contemporary Westerns.
- 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: Ali Rose Triple: [Georgia, associatedWith, Ali Rose]
Generated description
Ali Rose is an American model and actress known for her work in fashion and appearances in film and television.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Ali Rose Target entity description: Ali Rose is an American model and actress known for her work in fashion and appearances in film and television.
-
A.
Ali Rose
Ali Rose is the ambitious small-town singer and dancer who becomes the central star of the Los Angeles burlesque club in the film "Burlesque."
-
B.
Aaron Rose
Aaron Rose was an early settler and prominent pioneer whose contributions to the region led to the city of Roseburg, Oregon being named in his honor.
-
C.
Chris Rose
Chris Rose is an American sportscaster best known for his long-running work as a baseball studio host and commentator, including on MLB Network.
-
D.
Kelly Robinson
Kelly Robinson is a suave, quick-witted American secret agent who poses as a professional tennis player in the 1960s television series "I Spy."
-
E.
Sean Bridgers
Sean Bridgers is an American actor and screenwriter known for his character roles in film and television, including appearances in projects like Deadwood and various contemporary Westerns.
- 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_69d6aa8769b4819082bfe5e61b9017f0 |
completed | April 8, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69d770c4d59481908a5900fc8cf9ecc3 |
completed | April 9, 2026, 9:26 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69e23c3c885081908edcece772b2e759 |
completed | April 17, 2026, 1:57 p.m. |
| NEDg | Description generation | batch_69e24542b4f081909c97621f04da8ecc |
completed | April 17, 2026, 2:35 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69e248f7f96481909fa6e6cd07891566 |
completed | April 17, 2026, 2:51 p.m. |
Created at: April 8, 2026, 9:23 p.m.