Triple
T19520853
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Jimmy Neutron: Boy Genius |
E488396
|
entity |
| Predicate | voiceCast |
P18510
|
FINISHED |
| Object |
Jeffrey Garcia
Jeffrey Garcia is an American stand-up comedian and voice actor best known for voicing Sheen Estevez in the Jimmy Neutron franchise.
|
E1380248
|
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: Jeffrey Garcia | Statement: [Jimmy Neutron: Boy Genius, voiceCast, Jeffrey Garcia]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Garcia Context triple: [Jimmy Neutron: Boy Genius, voiceCast, Jeffrey Garcia]
-
A.
Tim Garcia
Tim Garcia is a musician best known as a member of the American glam metal band Ratt.
-
B.
Jeffrey Cain
Jeffrey Cain is an American musician and producer best known as a member of the alternative rock band Remy Zero.
-
C.
Rich Garcia
Rich Garcia is a former Major League Baseball umpire best known for working numerous postseason games, including serving as a crew chief in the 1990s.
-
D.
Brian Tufano
Brian Tufano was a British cinematographer best known for his influential work on films like "Trainspotting," "Shallow Grave," and "Billy Elliot."
-
E.
Ben Gannon
Ben Gannon was an Australian theatre and film producer best known for developing and producing the hit musical "The Boy from Oz" and for his influential work in bringing Australian stories to international audiences.
- 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: Jeffrey Garcia Triple: [Jimmy Neutron: Boy Genius, voiceCast, Jeffrey Garcia]
Generated description
Jeffrey Garcia is an American stand-up comedian and voice actor best known for voicing Sheen Estevez in the Jimmy Neutron franchise.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Jeffrey Garcia Target entity description: Jeffrey Garcia is an American stand-up comedian and voice actor best known for voicing Sheen Estevez in the Jimmy Neutron franchise.
-
A.
Tim Garcia
Tim Garcia is a musician best known as a member of the American glam metal band Ratt.
-
B.
Jeffrey Cain
Jeffrey Cain is an American musician and producer best known as a member of the alternative rock band Remy Zero.
-
C.
Rich Garcia
Rich Garcia is a former Major League Baseball umpire best known for working numerous postseason games, including serving as a crew chief in the 1990s.
-
D.
Brian Tufano
Brian Tufano was a British cinematographer best known for his influential work on films like "Trainspotting," "Shallow Grave," and "Billy Elliot."
-
E.
Ben Gannon
Ben Gannon was an Australian theatre and film producer best known for developing and producing the hit musical "The Boy from Oz" and for his influential work in bringing Australian stories to international audiences.
- 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_69d8e8da8bec819081f400199491ccc3 |
completed | April 10, 2026, 12:11 p.m. |
| NER | Named-entity recognition | batch_69e635a0b37c8190b70b7427c2e85f59 |
completed | April 20, 2026, 2:18 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a07472af0b881909e5bada0955b52bb |
completed | May 15, 2026, 4:17 p.m. |
| NEDg | Description generation | batch_6a0747f6b1d48190a3e70576ddb4feb2 |
completed | May 15, 2026, 4:21 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a07492259488190a8c405598f9c8878 |
completed | May 15, 2026, 4:26 p.m. |
Created at: April 10, 2026, 1:40 p.m.