Triple
T2151984
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Onward |
E47799
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Kyle Bornheimer
Kyle Bornheimer is an American actor and comedian known for his roles in television sitcoms and films, as well as voice work in animated features.
|
E338455
|
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: Kyle Bornheimer | Statement: [Onward, voiceActor, Kyle Bornheimer]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Kyle Bornheimer Context triple: [Onward, voiceActor, Kyle Bornheimer]
-
A.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
B.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
-
C.
Keith Bunin
Keith Bunin is an American playwright and screenwriter known for his work on stage and in film, including co-writing the Pixar animated feature "Onward."
-
D.
Jay Rabinowitz
Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
-
E.
Ben D. Waisbren
Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
- 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: Kyle Bornheimer Triple: [Onward, voiceActor, Kyle Bornheimer]
Generated description
Kyle Bornheimer is an American actor and comedian known for his roles in television sitcoms and films, as well as voice work in animated features.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Kyle Bornheimer Target entity description: Kyle Bornheimer is an American actor and comedian known for his roles in television sitcoms and films, as well as voice work in animated features.
-
A.
Steven Baigelman
Steven Baigelman is an American screenwriter and producer known for his work on biographical and crime dramas in film and television.
-
B.
Josh Goldstein
Josh Goldstein is a screenwriter best known for co-writing the story for Disney’s adventure film "Jungle Cruise."
-
C.
Keith Bunin
Keith Bunin is an American playwright and screenwriter known for his work on stage and in film, including co-writing the Pixar animated feature "Onward."
-
D.
Jay Rabinowitz
Jay Rabinowitz is a film editor known for his work on numerous feature films, including the science-fiction thriller "The Adjustment Bureau."
-
E.
Ben D. Waisbren
Ben D. Waisbren is a film producer known for financing and producing major studio and independent movies.
- 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_69a88a1d1fd8819088b34990d69a712f |
completed | March 4, 2026, 7:38 p.m. |
| NER | Named-entity recognition | batch_69abbe48ad148190a7d6cc88fd38a660 |
completed | March 7, 2026, 5:57 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b261af6c488190906432e93424c9d1 |
completed | March 12, 2026, 6:48 a.m. |
| NEDg | Description generation | batch_69b264c2b3e88190bdfb33f12c318c70 |
completed | March 12, 2026, 7:01 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69b2689419808190adb9b69bf3185daf |
completed | March 12, 2026, 7:17 a.m. |
Created at: March 4, 2026, 7:44 p.m.