Triple
T13008706
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | The Peanuts Movie |
E322351
|
entity |
| Predicate | voiceActor |
P1507
|
FINISHED |
| Object |
Noah Johnston
Noah Johnston is an American child voice actor best known for voicing Charlie Brown in the 2015 animated film "The Peanuts Movie."
|
E1016017
|
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: Noah Johnston | Statement: [The Peanuts Movie, voiceActor, Noah Johnston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Noah Johnston Context triple: [The Peanuts Movie, voiceActor, Noah Johnston]
-
A.
Noah Johnston
Noah Johnston is a voice actor best known for providing the voice of young Mike Wazowski in Pixar's animated film "Monsters University."
-
B.
Nicholas Johnston
Nicholas Johnston is a friend of British Prime Minister Boris Johnson, after whom Johnson’s son Wilfred Lawrie Nicholas Johnson was partly named.
-
C.
Joshua Stow
Joshua Stow was an early American land agent and pioneer credited with founding and lending his name to the city of Stow, Ohio.
-
D.
Joshua Luke Johnston
Joshua Luke Johnston is the son of acclaimed American stage and screen actress Patti LuPone.
-
E.
Nicholas Knisely
Nicholas Knisely is an American Episcopal bishop and former physicist who serves as the diocesan leader of the Episcopal Church in Rhode Island.
- 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: Noah Johnston Triple: [The Peanuts Movie, voiceActor, Noah Johnston]
Generated description
Noah Johnston is an American child voice actor best known for voicing Charlie Brown in the 2015 animated film "The Peanuts Movie."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Noah Johnston Target entity description: Noah Johnston is an American child voice actor best known for voicing Charlie Brown in the 2015 animated film "The Peanuts Movie."
-
A.
Noah Johnston
Noah Johnston is a voice actor best known for providing the voice of young Mike Wazowski in Pixar's animated film "Monsters University."
-
B.
Nicholas Johnston
Nicholas Johnston is a friend of British Prime Minister Boris Johnson, after whom Johnson’s son Wilfred Lawrie Nicholas Johnson was partly named.
-
C.
Joshua Stow
Joshua Stow was an early American land agent and pioneer credited with founding and lending his name to the city of Stow, Ohio.
-
D.
Joshua Luke Johnston
Joshua Luke Johnston is the son of acclaimed American stage and screen actress Patti LuPone.
-
E.
Nicholas Knisely
Nicholas Knisely is an American Episcopal bishop and former physicist who serves as the diocesan leader of the Episcopal Church in Rhode Island.
- 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_69d807657e8c8190bd9435ee2f823845 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69d97e9cf0108190b02f498c6ccc91f8 |
completed | April 10, 2026, 10:50 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69f6c10bb13481909650432d5c1f5872 |
completed | May 3, 2026, 3:29 a.m. |
| NEDg | Description generation | batch_69f6c381072c819080a9e92add50c780 |
completed | May 3, 2026, 3:39 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69f6c43f62c0819092c2f5090bf7fd51 |
completed | May 3, 2026, 3:42 a.m. |
Created at: April 9, 2026, 8:48 p.m.