Triple
T8766850
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Johnny Wadd film series |
E208358
|
entity |
| Predicate | hasPart |
P35
|
FINISHED |
| Object |
Johnny Wadd in Denmark
Johnny Wadd in Denmark is an installment in the Johnny Wadd adult film series featuring the titular detective character in a Danish setting.
|
E756625
|
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: Johnny Wadd in Denmark | Statement: [Johnny Wadd film series, hasPart, Johnny Wadd in Denmark]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Johnny Wadd in Denmark Context triple: [Johnny Wadd film series, hasPart, Johnny Wadd in Denmark]
-
A.
Nexø
Nexø is a coastal town on the eastern side of the Danish island of Bornholm, known historically for its fishing industry and picturesque harbor.
-
B.
Jørgen
Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
-
C.
Johnny
Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
-
D.
Jeppe
Jeppe is a Scandinavian masculine given name, commonly used in Denmark and related to names like Jepser or Jepsen.
-
E.
Danneels
Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
- 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: Johnny Wadd in Denmark Triple: [Johnny Wadd film series, hasPart, Johnny Wadd in Denmark]
Generated description
Johnny Wadd in Denmark is an installment in the Johnny Wadd adult film series featuring the titular detective character in a Danish setting.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Johnny Wadd in Denmark Target entity description: Johnny Wadd in Denmark is an installment in the Johnny Wadd adult film series featuring the titular detective character in a Danish setting.
-
A.
Nexø
Nexø is a coastal town on the eastern side of the Danish island of Bornholm, known historically for its fishing industry and picturesque harbor.
-
B.
Jørgen
Jørgen is a Scandinavian male given name, commonly used in Denmark and Norway and related to the name George.
-
C.
Johnny
Johnny is a common English masculine given name, often used as a familiar or diminutive form of John.
-
D.
Jeppe
Jeppe is a Scandinavian masculine given name, commonly used in Denmark and related to names like Jepser or Jepsen.
-
E.
Danneels
Danneels is a Belgian surname most notably associated with Cardinal Godfried Danneels, a prominent Roman Catholic prelate and former Archbishop of Mechelen-Brussels.
- 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_69ca835df7e08190ac875664cca8f9ca |
completed | March 30, 2026, 2:06 p.m. |
| NER | Named-entity recognition | batch_69cc5eeae70c8190adc2bc2846da0fbf |
completed | March 31, 2026, 11:55 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cf51a78a98819083ed4e214cd1fd22 |
completed | April 3, 2026, 5:35 a.m. |
| NEDg | Description generation | batch_69cf5323b7c08190819de236e01ce9d3 |
completed | April 3, 2026, 5:41 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cf54a056408190bd536f79e3ec33be |
completed | April 3, 2026, 5:48 a.m. |
Created at: March 30, 2026, 6:41 p.m.