Triple
T16209358
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | King of the Hill |
E393416
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object |
Arlen, Texas
Arlen, Texas is the fictional suburban Texas town that serves as the primary setting for the animated television series "King of the Hill."
|
E1371045
|
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: Arlen, Texas | Statement: [King of the Hill, setIn, Arlen, Texas]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Arlen, Texas Context triple: [King of the Hill, setIn, Arlen, Texas]
-
A.
Alvin, Texas
Alvin, Texas is a small city in Brazoria County known as part of the Greater Houston region and as the hometown of Baseball Hall of Famer Nolan Ryan.
-
B.
Lockney, Texas
Lockney, Texas is a small rural town in the Texas Panhandle known for its agricultural economy and close-knit community.
-
C.
Arcola, Texas
Arcola, Texas is a small city in Fort Bend County within the Greater Houston metropolitan area.
-
D.
Hamlin, Texas
Hamlin, Texas is a small rural city in West Texas known historically for its agriculture and railroad roots.
-
E.
Alvarado, Texas
Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
- 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: Arlen, Texas Triple: [King of the Hill, setIn, Arlen, Texas]
Generated description
Arlen, Texas is the fictional suburban Texas town that serves as the primary setting for the animated television series "King of the Hill."
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Arlen, Texas Target entity description: Arlen, Texas is the fictional suburban Texas town that serves as the primary setting for the animated television series "King of the Hill."
-
A.
Alvin, Texas
Alvin, Texas is a small city in Brazoria County known as part of the Greater Houston region and as the hometown of Baseball Hall of Famer Nolan Ryan.
-
B.
Lockney, Texas
Lockney, Texas is a small rural town in the Texas Panhandle known for its agricultural economy and close-knit community.
-
C.
Arcola, Texas
Arcola, Texas is a small city in Fort Bend County within the Greater Houston metropolitan area.
-
D.
Hamlin, Texas
Hamlin, Texas is a small rural city in West Texas known historically for its agriculture and railroad roots.
-
E.
Alvarado, Texas
Alvarado, Texas is a small historic city in North Texas known as the oldest city in Johnson County and part of the Dallas–Fort Worth metropolitan area.
- 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_69d87f1f5bd08190bd01cac0d5b9d2ef |
completed | April 10, 2026, 4:39 a.m. |
| NER | Named-entity recognition | batch_69e22711e4fc8190bf7a9f0c59b7889f |
completed | April 17, 2026, 12:26 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_6a071bc0308081908f2b98b0dec96ab6 |
completed | May 15, 2026, 1:12 p.m. |
| NEDg | Description generation | batch_6a071c8a9dec8190a4fbb88736b73912 |
completed | May 15, 2026, 1:15 p.m. |
| NED2 | Entity disambiguation (via description) | batch_6a071e0e00208190a6e05266d5bc47e2 |
completed | May 15, 2026, 1:22 p.m. |
Created at: April 10, 2026, 5:03 a.m.