Triple

T22787590
Position Surface form Disambiguated ID Type / Status
Subject Hella S. Haasse E564011 entity
Predicate notableWork P4 FINISHED
Object Oeroeg
Oeroeg is a novel by Dutch author Hella S. Haasse that explores friendship, colonialism, and identity in the former Dutch East Indies.
E1555211 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: Oeroeg | Statement: [Hella S. Haasse, notableWork, Oeroeg]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Oeroeg
Context triple: [Hella S. Haasse, notableWork, Oeroeg]
  • A. Oosternieland
    Oosternieland is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
  • B. Oland
    Oland is a small Hallig island in the North Frisian archipelago off the coast of Germany, known for its tidal landscape and traditional thatched-roof houses.
  • C. Zeerijp
    Zeerijp is a small village in the province of Groningen in the Netherlands, known for its historic church and traditional rural character.
  • D. Eston
    Eston is a town in North Yorkshire, England, historically associated with ironstone mining and now part of the borough of Redcar and Cleveland.
  • E. Oreolais
    Oreolais is a small genus of African warbler-like birds in the family Cisticolidae, typically found in forest and woodland habitats.
  • 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: Oeroeg
Triple: [Hella S. Haasse, notableWork, Oeroeg]
Generated description
Oeroeg is a novel by Dutch author Hella S. Haasse that explores friendship, colonialism, and identity in the former Dutch East Indies.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Oeroeg
Target entity description: Oeroeg is a novel by Dutch author Hella S. Haasse that explores friendship, colonialism, and identity in the former Dutch East Indies.
  • A. Oosternieland
    Oosternieland is a small village in the province of Groningen in the northern Netherlands, known for its rural landscape and historic church.
  • B. Oland
    Oland is a small Hallig island in the North Frisian archipelago off the coast of Germany, known for its tidal landscape and traditional thatched-roof houses.
  • C. Zeerijp
    Zeerijp is a small village in the province of Groningen in the Netherlands, known for its historic church and traditional rural character.
  • D. Eston
    Eston is a town in North Yorkshire, England, historically associated with ironstone mining and now part of the borough of Redcar and Cleveland.
  • E. Oreolais
    Oreolais is a small genus of African warbler-like birds in the family Cisticolidae, typically found in forest and woodland habitats.
  • 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_69e2455500788190b4b33030461f3bbd completed April 17, 2026, 2:36 p.m.
NER Named-entity recognition batch_69f17c32de6481909ef358d16de98496 completed April 29, 2026, 3:34 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0b9e8eb9148190b292504dd3472af8 completed May 18, 2026, 11:19 p.m.
NEDg Description generation batch_6a0ba0cf9cdc8190aa95a4e6faf237d9 completed May 18, 2026, 11:29 p.m.
NED2 Entity disambiguation (via description) batch_6a0ba1572efc81908899416039a85fd9 completed May 18, 2026, 11:31 p.m.
Created at: April 17, 2026, 3:29 p.m.