Triple
T4506111
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Toonami |
E101334
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
SARA
SARA is the AI host and interface character of Cartoon Network’s Toonami programming block, known for guiding viewers through shows and bumps in a futuristic setting.
|
E447816
|
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: SARA | Statement: [Toonami, featuresCharacter, SARA]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: SARA Context triple: [Toonami, featuresCharacter, SARA]
-
A.
SARA
SARA is the common short name for the U.S. Superfund Amendments and Reauthorization Act, which expanded and strengthened the federal Superfund program for cleaning up hazardous waste sites.
-
B.
Sara
Sara is a language spoken in parts of Central Africa, particularly in Chad.
-
C.
Sara
Sara was the internal codename used by Apple for its Apple III personal computer during development.
-
D.
Sara
"Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
-
E.
Sara
Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
- 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: SARA Triple: [Toonami, featuresCharacter, SARA]
Generated description
SARA is the AI host and interface character of Cartoon Network’s Toonami programming block, known for guiding viewers through shows and bumps in a futuristic setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: SARA Target entity description: SARA is the AI host and interface character of Cartoon Network’s Toonami programming block, known for guiding viewers through shows and bumps in a futuristic setting.
-
A.
SARA
SARA is the common short name for the U.S. Superfund Amendments and Reauthorization Act, which expanded and strengthened the federal Superfund program for cleaning up hazardous waste sites.
-
B.
Sara
Sara is a language spoken in parts of Central Africa, particularly in Chad.
-
C.
Sara
Sara was the internal codename used by Apple for its Apple III personal computer during development.
-
D.
Sara
"Sara" is a popular rock song by the American band Starship, known for its emotive lyrics and 1980s power-ballad style.
-
E.
Sara
Sara is a feminine given name of Hebrew origin meaning "princess," historically borne by notable figures including Sara Ann Delano Roosevelt, the mother of U.S. President Franklin D. Roosevelt.
- 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_69bd43d175248190894dc58b5b395c26 |
completed | March 20, 2026, 12:55 p.m. |
| NER | Named-entity recognition | batch_69bd56ff78748190bb667e70c69dc817 |
completed | March 20, 2026, 2:17 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69bd6f9d05d08190bde36e7d614a0e2e |
completed | March 20, 2026, 4:02 p.m. |
| NEDg | Description generation | batch_69bd705e0e848190a73e7ddb569f0e37 |
completed | March 20, 2026, 4:05 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69bd71b41664819091bd4f75d4634943 |
completed | March 20, 2026, 4:11 p.m. |
Created at: March 20, 2026, 1:01 p.m.