Triple
T1518542
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Mouse franchise |
E32173
|
entity |
| Predicate | setIn |
P1393
|
FINISHED |
| Object |
Mouseton
Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
|
E175538
|
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: Mouseton | Statement: [Mickey Mouse franchise, setIn, Mouseton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mouseton Context triple: [Mickey Mouse franchise, setIn, Mouseton]
-
A.
Moston
Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
-
B.
Holytown
Holytown is a small village in North Lanarkshire, Scotland, situated near Motherwell and known primarily as a residential commuter community.
-
C.
Molesey
Molesey is a suburban town in south-east England situated on the River Thames, known for its proximity to Hampton Court Palace and its residential character within the London commuter belt.
-
D.
Halstead
Halstead is a historic market town in the county of Essex in the East of England.
-
E.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
- 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: Mouseton Triple: [Mickey Mouse franchise, setIn, Mouseton]
Generated description
Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Mouseton Target entity description: Mouseton is the fictional town that serves as the primary home and community setting for Mickey Mouse and many of his friends in Disney stories.
-
A.
Moston
Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
-
B.
Holytown
Holytown is a small village in North Lanarkshire, Scotland, situated near Motherwell and known primarily as a residential commuter community.
-
C.
Molesey
Molesey is a suburban town in south-east England situated on the River Thames, known for its proximity to Hampton Court Palace and its residential character within the London commuter belt.
-
D.
Halstead
Halstead is a historic market town in the county of Essex in the East of England.
-
E.
Shingletown
Shingletown is a small rural community in Northern California known for its forested setting near Lassen Volcanic National Park.
- 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_69a885e8caf88190a5fbb6159ce87786 |
completed | March 4, 2026, 7:20 p.m. |
| NER | Named-entity recognition | batch_69a907ed44ac8190953e428c831e24df |
completed | March 5, 2026, 4:34 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69ad308f99d8819095c2ed404d4170b3 |
completed | March 8, 2026, 8:17 a.m. |
| NEDg | Description generation | batch_69ad3122d16081909cc0ad2fc55ee761 |
completed | March 8, 2026, 8:19 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69ad31c7a2b08190a75ee4face596565 |
completed | March 8, 2026, 8:22 a.m. |
Created at: March 4, 2026, 7:26 p.m.