Triple

T18352211
Position Surface form Disambiguated ID Type / Status
Subject Hanne Ørstavik E439694 entity
Predicate notableWork P4 FINISHED
Object Presten
Presten is a novel by Norwegian author Hanne Ørstavik that explores themes of faith, doubt, and human relationships through an introspective, psychologically driven narrative.
 E1319238 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: Presten | Statement: [Hanne Ørstavik, notableWork, Presten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Presten
Context triple: [Hanne Ørstavik, notableWork, Presten]
  • A. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • B. Noseda
    Noseda is an Italian surname most prominently associated with Gianandrea Noseda, a renowned conductor known for leading major orchestras worldwide.
  • C. Christlieger
    Christlieger is a small, picturesque island in the Bavarian lake Königssee, known for its religious monument and scenic alpine setting.
  • D. Sergel
    Sergel is a Swedish surname most notably associated with the 18th-century sculptor Johan Tobias Sergel.
  • E. Pirmin
    Pirmin is a masculine given name of Germanic origin, notably borne by the Swiss alpine ski legend Pirmin Zurbriggen.
  • 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: Presten
Triple: [Hanne Ørstavik, notableWork, Presten]
Generated description
Presten is a novel by Norwegian author Hanne Ørstavik that explores themes of faith, doubt, and human relationships through an introspective, psychologically driven narrative.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Presten
Target entity description: Presten is a novel by Norwegian author Hanne Ørstavik that explores themes of faith, doubt, and human relationships through an introspective, psychologically driven narrative.
  • A. Rigmor
    Rigmor is a feminine given name of Scandinavian origin, particularly used in Norway and Denmark.
  • B. Noseda
    Noseda is an Italian surname most prominently associated with Gianandrea Noseda, a renowned conductor known for leading major orchestras worldwide.
  • C. Christlieger
    Christlieger is a small, picturesque island in the Bavarian lake Königssee, known for its religious monument and scenic alpine setting.
  • D. Sergel
    Sergel is a Swedish surname most notably associated with the 18th-century sculptor Johan Tobias Sergel.
  • E. Pirmin
    Pirmin is a masculine given name of Germanic origin, notably borne by the Swiss alpine ski legend Pirmin Zurbriggen.
  • 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_69d8b918221c8190a9f7b563d64ac677 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e514f8f07c8190a1506d4a327369d0 completed April 19, 2026, 5:46 p.m.
NED1 Entity disambiguation (via context triple) batch_6a03cc2b4b3c81909ff81c7861e0ddba completed May 13, 2026, 12:56 a.m.
NEDg Description generation batch_6a03ccd2c23881909c200be266dab873 completed May 13, 2026, 12:58 a.m.
NED2 Entity disambiguation (via description) batch_6a03cd535cf08190a5dfc9118be68e17 completed May 13, 2026, 1:01 a.m.
Created at: April 10, 2026, 10:37 a.m.