Triple
T3241422
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Mickey Mouse |
E67971
|
entity |
| Predicate | setting |
P1957
|
FINISHED |
| Object | Mouseton |
E175538
|
NE FINISHED |
How this triple was built (2 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, setting, Mouseton]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Mouseton Context triple: [Mickey Mouse, setting, Mouseton]
-
A.
Mouseton
chosen
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.
-
B.
Moston
Moston is a residential district in north Manchester, England, known for its mix of traditional terraced housing, local parks, and community amenities.
-
C.
Mottingham
Mottingham is a suburban district in southeast London, England, known for its residential character and green spaces.
-
D.
Holytown
Holytown is a small village in North Lanarkshire, Scotland, situated near Motherwell and known primarily as a residential commuter community.
-
E.
Homersfield
Homersfield is a small village and civil parish on the River Waveney in eastern England, known for its historic bridge and rural Suffolk setting.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
Provenance (3 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_69ad858d27348190abb61c280b4c86a9 |
completed | March 8, 2026, 2:19 p.m. |
| NER | Named-entity recognition | batch_69adaef76d908190815bb456e366ee0a |
completed | March 8, 2026, 5:16 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69b27754492c819099bab9a2a3344561 |
completed | March 12, 2026, 8:20 a.m. |
Created at: March 8, 2026, 3:08 p.m.