Triple
T11546454
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Ripto |
E273785
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Gregg Berger
Gregg Berger is an American voice actor known for his work in animation and video games, including roles in franchises like "Transformers" and various Spyro titles.
|
E957499
|
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: Gregg Berger | Statement: [Ripto, voiceActor, Gregg Berger]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Gregg Berger Context triple: [Ripto, voiceActor, Gregg Berger]
-
A.
Glenn Berger
Glenn Berger is an American screenwriter best known for co-writing major animated films such as the Kung Fu Panda series.
-
B.
Gary Hershberger
Gary Hershberger is an American actor best known for his role as Mike Nelson on the television series "Twin Peaks."
-
C.
Ted Berman
Ted Berman was an American animator and film director best known for his work at Walt Disney Productions during the studio’s classic and transitional eras.
-
D.
Barry Kroeger
Barry Kroeger was an American character actor known for his distinctive villainous roles in mid-20th-century film and television.
-
E.
Phil DeGuere
Phil DeGuere was an American television producer, writer, and director best known for his work on series such as Simon & Simon and the 1980s revival of The Twilight Zone.
- 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: Gregg Berger Triple: [Ripto, voiceActor, Gregg Berger]
Generated description
Gregg Berger is an American voice actor known for his work in animation and video games, including roles in franchises like "Transformers" and various Spyro titles.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Gregg Berger Target entity description: Gregg Berger is an American voice actor known for his work in animation and video games, including roles in franchises like "Transformers" and various Spyro titles.
-
A.
Glenn Berger
Glenn Berger is an American screenwriter best known for co-writing major animated films such as the Kung Fu Panda series.
-
B.
Gary Hershberger
Gary Hershberger is an American actor best known for his role as Mike Nelson on the television series "Twin Peaks."
-
C.
Ted Berman
Ted Berman was an American animator and film director best known for his work at Walt Disney Productions during the studio’s classic and transitional eras.
-
D.
Barry Kroeger
Barry Kroeger was an American character actor known for his distinctive villainous roles in mid-20th-century film and television.
-
E.
Phil DeGuere
Phil DeGuere was an American television producer, writer, and director best known for his work on series such as Simon & Simon and the 1980s revival of The Twilight Zone.
- 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_69d6aae4dfa48190a3ab0b19a159a3c5 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d886e3ad548190b2c88332f5d919bd |
completed | April 10, 2026, 5:13 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f470faab4c8190ac9091713080dc7a |
completed | May 1, 2026, 9:23 a.m. |
| NEDg | Description generation | batch_69f47b755f808190acb2fb31473d2405 |
completed | May 1, 2026, 10:07 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f47d8bbae8819088d48b300291ef74 |
completed | May 1, 2026, 10:16 a.m. |
Created at: April 8, 2026, 9:37 p.m.