Triple

T22864879
Position Surface form Disambiguated ID Type / Status
Subject Christian Krohg E567023 entity
Predicate notableWork P4 FINISHED
Object Daggry
Daggry is a notable work by Norwegian realist painter and writer Christian Krohg, reflecting his characteristic focus on social issues and everyday life.
E1558825 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: Daggry | Statement: [Christian Krohg, notableWork, Daggry]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Daggry
Context triple: [Christian Krohg, notableWork, Daggry]
  • A. Damogran
    Damogran is a remote, sparsely inhabited planet in Douglas Adams' "The Hitchhiker's Guide to the Galaxy," notable as the secret construction site of the revolutionary starship Heart of Gold.
  • B. Daggi
    Daggi is a German diminutive form of the female given name Dagmar, often used as an affectionate nickname.
  • C. Daggoo
    Daggoo is a powerful African harpooner aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
  • D. Dakaka
    Dakaka is an Oceanic language spoken by a small community in Vanuatu.
  • E. Saffig
    Saffig is a small municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • 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: Daggry
Triple: [Christian Krohg, notableWork, Daggry]
Generated description
Daggry is a notable work by Norwegian realist painter and writer Christian Krohg, reflecting his characteristic focus on social issues and everyday life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Daggry
Target entity description: Daggry is a notable work by Norwegian realist painter and writer Christian Krohg, reflecting his characteristic focus on social issues and everyday life.
  • A. Damogran
    Damogran is a remote, sparsely inhabited planet in Douglas Adams' "The Hitchhiker's Guide to the Galaxy," notable as the secret construction site of the revolutionary starship Heart of Gold.
  • B. Daggi
    Daggi is a German diminutive form of the female given name Dagmar, often used as an affectionate nickname.
  • C. Daggoo
    Daggoo is a powerful African harpooner aboard the whaling ship Pequod in Herman Melville’s novel "Moby-Dick."
  • D. Dakaka
    Dakaka is an Oceanic language spoken by a small community in Vanuatu.
  • E. Saffig
    Saffig is a small municipality in the district of Mayen-Koblenz in the German state of Rhineland-Palatinate.
  • 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_69e24589083081908d5694c4fdc80086 completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17effd93081909f2c9a8857a8728b completed April 29, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0bae9157f48190acf3d1e4965ed49b completed May 19, 2026, 12:28 a.m.
NEDg Description generation batch_6a0baf96f71c8190b1c0ee09d1fbde19 completed May 19, 2026, 12:32 a.m.
NED2 Entity disambiguation (via description) batch_6a0bb0d8a2f0819084161d3a09cfa1ae completed May 19, 2026, 12:37 a.m.
Created at: April 17, 2026, 3:38 p.m.