Triple
T14120510
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Flounder |
E339891
|
entity |
| Predicate | voicedBy |
P2181
|
FINISHED |
| Object |
Parker Goris
Parker Goris is an American voice actor best known for portraying Flounder in Disney-related projects.
|
E1108862
|
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: Parker Goris | Statement: [Flounder, voicedBy, Parker Goris]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Parker Goris Context triple: [Flounder, voicedBy, Parker Goris]
-
A.
Garrett Gruener
Garrett Gruener is an American entrepreneur and venture capitalist best known as a co-founder of the early internet search engine Ask Jeeves.
-
B.
Ryan Ogren
Ryan Ogren is an American songwriter and record producer known for working with various pop and rock artists.
-
C.
Aaron Burckhard
Aaron Burckhard is an American drummer best known as one of the earliest drummers for the grunge band Nirvana during its formative years.
-
D.
Tyler Korff
Tyler Korff is an American attorney and media executive known for his role in the Redstone family’s media empire and his work with companies linked to Paramount Global and National Amusements.
-
E.
Jason Geter
Jason Geter is an American music executive and entrepreneur best known for managing rapper T.I. and helping build the Grand Hustle brand in hip-hop.
- 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: Parker Goris Triple: [Flounder, voicedBy, Parker Goris]
Generated description
Parker Goris is an American voice actor best known for portraying Flounder in Disney-related projects.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Parker Goris Target entity description: Parker Goris is an American voice actor best known for portraying Flounder in Disney-related projects.
-
A.
Garrett Gruener
Garrett Gruener is an American entrepreneur and venture capitalist best known as a co-founder of the early internet search engine Ask Jeeves.
-
B.
Ryan Ogren
Ryan Ogren is an American songwriter and record producer known for working with various pop and rock artists.
-
C.
Aaron Burckhard
Aaron Burckhard is an American drummer best known as one of the earliest drummers for the grunge band Nirvana during its formative years.
-
D.
Tyler Korff
Tyler Korff is an American attorney and media executive known for his role in the Redstone family’s media empire and his work with companies linked to Paramount Global and National Amusements.
-
E.
Jason Geter
Jason Geter is an American music executive and entrepreneur best known for managing rapper T.I. and helping build the Grand Hustle brand in hip-hop.
- 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_69d81c6a95b481909e39111e0c1f31ee |
completed | April 9, 2026, 9:38 p.m. |
| NER | Named-entity recognition | batch_69de60942a588190beff0058a92f7051 |
completed | April 14, 2026, 3:43 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fd949df6688190ac92f7e0945bce02 |
completed | May 8, 2026, 7:45 a.m. |
| NEDg | Description generation | batch_69fd9818cc6081908f2b628abd983973 |
completed | May 8, 2026, 8 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69fd98b320108190b7d4c43bfd4038fb |
completed | May 8, 2026, 8:02 a.m. |
Created at: April 9, 2026, 10:22 p.m.