Triple
T8860678
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Josephine Skriver |
E210879
|
entity |
| Predicate | familyName |
P18
|
FINISHED |
| Object |
Skriver
Skriver is a Danish surname most notably associated with fashion model Josephine Skriver.
|
E762167
|
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: Skriver | Statement: [Josephine Skriver, familyName, Skriver]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Skriver Context triple: [Josephine Skriver, familyName, Skriver]
-
A.
StarWriter
StarWriter is a word processing application that was part of the StarOffice office suite, serving as its primary tool for creating and editing text documents.
-
B.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
C.
Spisz
Spisz is a historical and ethnographic region in southern Poland and northern Slovakia, known for its mountainous landscapes, traditional highlander culture, and well-preserved medieval towns.
-
D.
Mandika
Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
-
E.
Quill
Quill is an alien species from the Doctor Who spin-off series "Class," known for its warrior culture and complex relationship with humanity.
- 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: Skriver Triple: [Josephine Skriver, familyName, Skriver]
Generated description
Skriver is a Danish surname most notably associated with fashion model Josephine Skriver.
NED2
Entity disambiguation (via description)
gpt-5-mini-2025-08-07
Target entity: Skriver Target entity description: Skriver is a Danish surname most notably associated with fashion model Josephine Skriver.
-
A.
StarWriter
StarWriter is a word processing application that was part of the StarOffice office suite, serving as its primary tool for creating and editing text documents.
-
B.
Nerekhta
Nerekhta is a historic Russian town known for its well-preserved traditional architecture and cultural heritage within Kostroma Oblast.
-
C.
Spisz
Spisz is a historical and ethnographic region in southern Poland and northern Slovakia, known for its mountainous landscapes, traditional highlander culture, and well-preserved medieval towns.
-
D.
Mandika
Mandika is an alternative name for the Mandinka, a major West African ethnic group known for their rich cultural traditions and historical role in the Mali Empire.
-
E.
Quill
Quill is an alien species from the Doctor Who spin-off series "Class," known for its warrior culture and complex relationship with humanity.
- 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_69ca838bbddc8190ab546d737e5d350f |
completed | March 30, 2026, 2:07 p.m. |
| NER | Named-entity recognition | batch_69cc60e712d08190bfb1c4ba3acaea90 |
completed | April 1, 2026, 12:03 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69cfa0b94f5481909902b5fa405a502f |
completed | April 3, 2026, 11:12 a.m. |
| NEDg | Description generation | batch_69cfa1714b4081909035c9b15c82c1be |
completed | April 3, 2026, 11:16 a.m. |
| NED2 | Entity disambiguation (via description) | batch_69cfa24be80481909e2b575f99cd1dc4 |
completed | April 3, 2026, 11:19 a.m. |
Created at: March 30, 2026, 6:50 p.m.