Triple
T8579884
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Critters 2: The Main Course |
E203142
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object |
Grostown, Kansas
Grostown, Kansas is a fictional small town that serves as the primary setting for the horror-comedy film "Critters 2: The Main Course."
|
E743357
|
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: Grostown, Kansas | Statement: [Critters 2: The Main Course, setting, Grostown, Kansas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Grostown, Kansas Context triple: [Critters 2: The Main Course, setting, Grostown, Kansas]
-
A.
Goessel, Kansas
Goessel, Kansas is a small rural city in central Kansas known for its strong Mennonite heritage and agricultural community.
-
B.
Alta Vista, Kansas
Alta Vista, Kansas is a small rural city in eastern Kansas that functions as part of the broader Manhattan-area community.
-
C.
Galesburg, Kansas
Galesburg, Kansas is a small rural city located in Neosho County in southeastern Kansas, known for its agricultural surroundings and tight-knit community.
-
D.
Gorham, Kansas
Gorham, Kansas is a small rural city in central Kansas known for its agricultural surroundings and tight-knit community.
-
E.
Windhorst, Kansas
Windhorst, Kansas is a small rural unincorporated community located in Ford County in southwestern Kansas.
- 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: Grostown, Kansas Triple: [Critters 2: The Main Course, setting, Grostown, Kansas]
Generated description
Grostown, Kansas is a fictional small town that serves as the primary setting for the horror-comedy film "Critters 2: The Main Course."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Grostown, Kansas Target entity description: Grostown, Kansas is a fictional small town that serves as the primary setting for the horror-comedy film "Critters 2: The Main Course."
-
A.
Goessel, Kansas
Goessel, Kansas is a small rural city in central Kansas known for its strong Mennonite heritage and agricultural community.
-
B.
Alta Vista, Kansas
Alta Vista, Kansas is a small rural city in eastern Kansas that functions as part of the broader Manhattan-area community.
-
C.
Galesburg, Kansas
Galesburg, Kansas is a small rural city located in Neosho County in southeastern Kansas, known for its agricultural surroundings and tight-knit community.
-
D.
Gorham, Kansas
Gorham, Kansas is a small rural city in central Kansas known for its agricultural surroundings and tight-knit community.
-
E.
Windhorst, Kansas
Windhorst, Kansas is a small rural unincorporated community located in Ford County in southwestern Kansas.
- 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_69ca8328ebe481909a8c038fa79959b4 |
completed | March 30, 2026, 2:05 p.m. |
| NER | Named-entity recognition | batch_69cbea9a0708819084cb8b8d84017864 |
completed | March 31, 2026, 3:39 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ce89ae87f08190b83bc539e1d4eeaa |
completed | April 2, 2026, 3:22 p.m. |
| NEDg | Description generation | batch_69ce8d6ce1788190bab10eb05d3ccd2e |
completed | April 2, 2026, 3:38 p.m. |
| NED2 | Entity disambiguation (via description) | batch_69ce8e0ea1608190af74d0e49f149454 |
completed | April 2, 2026, 3:41 p.m. |
Created at: March 30, 2026, 6:22 p.m.