Triple

T23216595
Position Surface form Disambiguated ID Type / Status
Subject Martinus Nijhoff E580761 entity
Predicate notableWork P4 FINISHED
Object Awater
Awater is a landmark Dutch modernist narrative poem by Martinus Nijhoff, renowned for its innovative form and exploration of alienation in contemporary urban life.
 E1573177 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: Awater | Statement: [Martinus Nijhoff, notableWork, Awater]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Awater
Context triple: [Martinus Nijhoff, notableWork, Awater]
  • A. Wasser
    Wasser is a surname of likely German or Yiddish origin borne by individuals such as Hersz Wasser.
  • B. Vann
    Vann is a surname most notably borne by Cherry Vann, a British Anglican bishop.
  • C. Ale Water
    Ale Water is a river in the Scottish Borders that flows through rural valleys before joining the River Teviot.
  • D. Vatten
    Vatten is a small rural settlement on the Duirinish peninsula of the Isle of Skye in the Scottish Highlands.
  • E. In Water
    In Water is a 2023 minimalist, self-reflexive South Korean art film by director Hong Sang-soo that blurs the line between filmmaking and reality through its hazy, visually distinctive style.
  • 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: Awater
Triple: [Martinus Nijhoff, notableWork, Awater]
Generated description
Awater is a landmark Dutch modernist narrative poem by Martinus Nijhoff, renowned for its innovative form and exploration of alienation in contemporary urban life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Awater
Target entity description: Awater is a landmark Dutch modernist narrative poem by Martinus Nijhoff, renowned for its innovative form and exploration of alienation in contemporary urban life.
  • A. Wasser
    Wasser is a surname of likely German or Yiddish origin borne by individuals such as Hersz Wasser.
  • B. Vann
    Vann is a surname most notably borne by Cherry Vann, a British Anglican bishop.
  • C. Ale Water
    Ale Water is a river in the Scottish Borders that flows through rural valleys before joining the River Teviot.
  • D. Vatten
    Vatten is a small rural settlement on the Duirinish peninsula of the Isle of Skye in the Scottish Highlands.
  • E. In Water
    In Water is a 2023 minimalist, self-reflexive South Korean art film by director Hong Sang-soo that blurs the line between filmmaking and reality through its hazy, visually distinctive style.
  • 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_69e2460389408190be74f41d217799a9 completed April 17, 2026, 2:38 p.m.
NER Named-entity recognition batch_69f19165949c81908e4d66a8a2b0a25a completed April 29, 2026, 5:04 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0c30ca89508190847874ab3bc1e01f completed May 19, 2026, 9:43 a.m.
NEDg Description generation batch_6a0c31f385a881908283a8b079c4128a completed May 19, 2026, 9:48 a.m.
NED2 Entity disambiguation (via description) batch_6a0c32ece3148190a22881d69c42e948 completed May 19, 2026, 9:52 a.m.
Created at: April 17, 2026, 4:08 p.m.