Triple
T15199339
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dunston Checks In |
E363222
|
entity |
| Predicate | featuresCharacter |
P626
|
FINISHED |
| Object |
Dunston
Dunston is the mischievous orangutan from the family comedy film "Dunston Checks In," known for causing chaos in a luxury hotel.
|
E1144132
|
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: Dunston | Statement: [Dunston Checks In, featuresCharacter, Dunston]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Dunston Context triple: [Dunston Checks In, featuresCharacter, Dunston]
-
A.
Dunston
Dunston is a suburban district on the south bank of the River Tyne in Gateshead, England, known historically for its riverside industry and later redevelopment.
-
B.
Dunsdale
Dunsdale is a small village located within the borough of Redcar and Cleveland in North Yorkshire, England.
-
C.
Dunvant
Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
-
D.
Denniston
Denniston is a historic former coal-mining town on New Zealand’s rugged West Coast, known for its dramatic plateau setting and the famous Denniston Incline.
-
E.
Farlington
Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
- 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: Dunston Triple: [Dunston Checks In, featuresCharacter, Dunston]
Generated description
Dunston is the mischievous orangutan from the family comedy film "Dunston Checks In," known for causing chaos in a luxury hotel.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Dunston Target entity description: Dunston is the mischievous orangutan from the family comedy film "Dunston Checks In," known for causing chaos in a luxury hotel.
-
A.
Dunston
Dunston is a suburban district on the south bank of the River Tyne in Gateshead, England, known historically for its riverside industry and later redevelopment.
-
B.
Dunsdale
Dunsdale is a small village located within the borough of Redcar and Cleveland in North Yorkshire, England.
-
C.
Dunvant
Dunvant is a suburban village and community in the City and County of Swansea in south Wales.
-
D.
Denniston
Denniston is a historic former coal-mining town on New Zealand’s rugged West Coast, known for its dramatic plateau setting and the famous Denniston Incline.
-
E.
Farlington
Farlington is a small rural village in North Yorkshire, England, situated near the River Foss and known for its historic parish church and agricultural surroundings.
- 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_69d85a0b78bc8190b6e5ad51a2c4cfc5 |
completed | April 10, 2026, 2:01 a.m. |
| NER | Named-entity recognition | batch_69e006b476208190a5119710c518bb1f |
completed | April 15, 2026, 9:44 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fed3363f688190a5c728846bea743a |
completed | May 9, 2026, 6:24 a.m. |
| NEDg | Description generation | batch_69fed76d6a888190b44efa490df4b6d0 |
completed | May 9, 2026, 6:42 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69feda443c64819087cb16ce742e7cc5 |
completed | May 9, 2026, 6:55 a.m. |
Created at: April 10, 2026, 3:10 a.m.