Triple
T21963172
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Cloudy with a Chance of Meatballs 2 |
E542386
|
entity |
| Predicate | mainCharacter |
P1183
|
FINISHED |
| Object |
Chester V
Chester V is the eccentric and duplicitous inventor-antagonist in the animated film "Cloudy with a Chance of Meatballs 2."
|
E1510329
|
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: Chester V | Statement: [Cloudy with a Chance of Meatballs 2, mainCharacter, Chester V]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Chester V Context triple: [Cloudy with a Chance of Meatballs 2, mainCharacter, Chester V]
-
A.
Chester Caddas
Chester Caddas was a college football coach best known for his tenure leading the University of the Pacific Tigers program.
-
B.
Chester Conway
Chester Conway is a fictional character appearing in the work "Whistling in Dixie."
-
C.
Chester Kent
Chester Kent is the fast-talking, overworked musical producer and idea man at the center of the 1933 Warner Bros. film "Footlight Parade," portrayed by James Cagney.
-
D.
Chester Weir
Chester Weir is a historic low-head weir on the River Dee in Chester, England, built to manage water levels and flow through the city.
-
E.
Chester Tate
Chester Tate is a fictional character from the satirical TV sitcom "Soap," known as the wealthy, philandering patriarch of the Tate family.
- 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: Chester V Triple: [Cloudy with a Chance of Meatballs 2, mainCharacter, Chester V]
Generated description
Chester V is the eccentric and duplicitous inventor-antagonist in the animated film "Cloudy with a Chance of Meatballs 2."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Chester V Target entity description: Chester V is the eccentric and duplicitous inventor-antagonist in the animated film "Cloudy with a Chance of Meatballs 2."
-
A.
Chester Caddas
Chester Caddas was a college football coach best known for his tenure leading the University of the Pacific Tigers program.
-
B.
Chester Conway
Chester Conway is a fictional character appearing in the work "Whistling in Dixie."
-
C.
Chester Kent
Chester Kent is the fast-talking, overworked musical producer and idea man at the center of the 1933 Warner Bros. film "Footlight Parade," portrayed by James Cagney.
-
D.
Chester Weir
Chester Weir is a historic low-head weir on the River Dee in Chester, England, built to manage water levels and flow through the city.
-
E.
Chester Tate
Chester Tate is a fictional character from the satirical TV sitcom "Soap," known as the wealthy, philandering patriarch of the Tate family.
- 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_69e0c47fab1081908dc74a6545dbb051 |
completed | April 16, 2026, 11:14 a.m. |
| NER | Named-entity recognition | batch_69f12458e4488190a04f8d3958854b49 |
completed | April 28, 2026, 9:19 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a0a670eb56081909fad6bbca91835c6 |
completed | May 18, 2026, 1:10 a.m. |
| NEDg | Description generation | batch_6a0a67a1c82881909f71e24139576c31 |
completed | May 18, 2026, 1:13 a.m. |
| NED2 | Entity disambiguation (via description) | batch_6a0a68583248819085f413692d35c1b9 |
completed | May 18, 2026, 1:16 a.m. |
Created at: April 16, 2026, 8:01 p.m.