Triple

T11476434
Position Surface form Disambiguated ID Type / Status
Subject Arjen Robben E272035 entity
Predicate givenName P17 FINISHED
Object Arjen
Arjen is a Dutch male given name, notably borne by former professional footballer Arjen Robben.
 E927573 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: Arjen | Statement: [Arjen Robben, givenName, Arjen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arjen
Context triple: [Arjen Robben, givenName, Arjen]
  • A. Reinier
    Reinier is a Dutch masculine given name of Germanic origin, commonly used in the Netherlands and Belgium.
  • B. Benno van den Berg
    Benno van den Berg is a Dutch mathematician known for his work in category theory, logic, and the foundations of mathematics.
  • C. Ruud
    Ruud is a Dutch given name most famously borne by former footballer and manager Ruud Gullit.
  • D. Lovaart
    Lovaart is a canalized waterway in western Belgium that serves as a branch of the Yser River, used primarily for drainage and local navigation.
  • E. Tom Heskes
    Tom Heskes is a machine learning researcher and professor known for his work in probabilistic modeling, Bayesian methods, and neural networks.
  • 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: Arjen
Triple: [Arjen Robben, givenName, Arjen]
Generated description
Arjen is a Dutch male given name, notably borne by former professional footballer Arjen Robben.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arjen
Target entity description: Arjen is a Dutch male given name, notably borne by former professional footballer Arjen Robben.
  • A. Reinier
    Reinier is a Dutch masculine given name of Germanic origin, commonly used in the Netherlands and Belgium.
  • B. Benno van den Berg
    Benno van den Berg is a Dutch mathematician known for his work in category theory, logic, and the foundations of mathematics.
  • C. Ruud
    Ruud is a Dutch given name most famously borne by former footballer and manager Ruud Gullit.
  • D. Lovaart
    Lovaart is a canalized waterway in western Belgium that serves as a branch of the Yser River, used primarily for drainage and local navigation.
  • E. Tom Heskes
    Tom Heskes is a machine learning researcher and professor known for his work in probabilistic modeling, Bayesian methods, and neural networks.
  • 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_69d6aae0c8d881908a5a360c0be3242e completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d8294e0fe08190b018e840146e27ca completed April 9, 2026, 10:33 p.m.
NED1 Entity disambiguation (via context triple) batch_69e5e965eebc8190822247b1abc13483 completed April 20, 2026, 8:52 a.m.
NEDg Description generation batch_69e5f15b37c8819083d9275ceb7b3806 completed April 20, 2026, 9:26 a.m.
NED2 Entity disambiguation (via description) batch_69e5f89dd4bc8190b0cccab8414a03aa completed April 20, 2026, 9:57 a.m.
Created at: April 8, 2026, 9:36 p.m.