Triple

T4256981
Position Surface form Disambiguated ID Type / Status
Subject Kees van Dongen E95998 entity
Predicate nickname P55 FINISHED
Object Kees
Kees is the familiar nickname of Kees van Dongen, a prominent Dutch-French Fauvist painter known for his vibrant colors and expressive portraits.
 E423308 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: Kees | Statement: [Kees van Dongen, nickname, Kees]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Kees
Context triple: [Kees van Dongen, nickname, Kees]
  • A. Kee
    Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
  • B. Kedzie
    Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
  • C. Kedzie
    Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
  • D. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • E. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • 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: Kees
Triple: [Kees van Dongen, nickname, Kees]
Generated description
Kees is the familiar nickname of Kees van Dongen, a prominent Dutch-French Fauvist painter known for his vibrant colors and expressive portraits.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Kees
Target entity description: Kees is the familiar nickname of Kees van Dongen, a prominent Dutch-French Fauvist painter known for his vibrant colors and expressive portraits.
  • A. Kee
    Kee is a pivotal character in the dystopian film "Children of Men," a miraculously pregnant refugee whose unborn child represents humanity’s last hope for survival.
  • B. Kedzie
    Kedzie is a Chicago Transit Authority rapid transit station on the Pink Line serving the city's West Side.
  • C. Kedzie
    Kedzie is a Chicago Transit Authority 'L' station on the Brown Line serving the city's Northwest Side.
  • D. Kes
    Kes is a 1969 British drama film directed by Ken Loach, widely acclaimed for its realistic portrayal of a working-class boy in Northern England who finds solace in training a kestrel.
  • E. Kes
    Kes is an Ocampa crew member on Star Trek: Voyager, known for her short lifespan, strong empathic and telepathic abilities, and close relationships with Neelix and the Doctor.
  • 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_69b3454095ac81909c2494f7ff294af1 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b34ec321008190b2cc1aca6ab690c4 completed March 12, 2026, 11:39 p.m.
NED1 Entity disambiguation (via context triple) batch_69b5a88d3bf48190b26eb8ab848d320e completed March 14, 2026, 6:27 p.m.
NEDg Description generation batch_69b5a917d4a88190864441f95706964e completed March 14, 2026, 6:29 p.m.
NED2 Entity disambiguation (via description) batch_69b5a96967ec8190aa86e735808211fd completed March 14, 2026, 6:31 p.m.
Created at: March 12, 2026, 11:06 p.m.