Triple

T2627684
Position Surface form Disambiguated ID Type / Status
Subject TivoliVredenburg E59158 entity
Predicate architect P184 FINISHED
Object Jo Coenen
Jo Coenen is a prominent Dutch architect and urban planner known for major cultural and public projects in the Netherlands and abroad.
E283542 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: Jo Coenen | Statement: [TivoliVredenburg, architect, Jo Coenen]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Jo Coenen
Context triple: [TivoliVredenburg, architect, Jo Coenen]
  • A. Gunnar Nelson
    Gunnar Nelson is an Icelandic mixed martial artist and Brazilian jiu-jitsu specialist known for his grappling-focused fighting style in the UFC.
  • B. Nico van Dam
    Nico van Dam is a person notable enough to be recognized as a bearer of the Dutch surname "van Dam."
  • C. Adam Pijnacker
    Adam Pijnacker was a 17th-century Dutch painter known for his Italianate landscapes and association with the artistic community in Delft.
  • D. Jesse Klaver
    Jesse Klaver is a Dutch politician who serves as the prominent leader of the green-progressive party GroenLinks in the Netherlands.
  • E. Colby Covington
    Colby Covington is an American mixed martial artist known for his elite wrestling, high-pressure fighting style, and polarizing trash talk persona in the UFC welterweight division.
  • 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: Jo Coenen
Triple: [TivoliVredenburg, architect, Jo Coenen]
Generated description
Jo Coenen is a prominent Dutch architect and urban planner known for major cultural and public projects in the Netherlands and abroad.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Jo Coenen
Target entity description: Jo Coenen is a prominent Dutch architect and urban planner known for major cultural and public projects in the Netherlands and abroad.
  • A. Gunnar Nelson
    Gunnar Nelson is an Icelandic mixed martial artist and Brazilian jiu-jitsu specialist known for his grappling-focused fighting style in the UFC.
  • B. Nico van Dam
    Nico van Dam is a person notable enough to be recognized as a bearer of the Dutch surname "van Dam."
  • C. Adam Pijnacker
    Adam Pijnacker was a 17th-century Dutch painter known for his Italianate landscapes and association with the artistic community in Delft.
  • D. Jesse Klaver
    Jesse Klaver is a Dutch politician who serves as the prominent leader of the green-progressive party GroenLinks in the Netherlands.
  • E. Colby Covington
    Colby Covington is an American mixed martial artist known for his elite wrestling, high-pressure fighting style, and polarizing trash talk persona in the UFC welterweight division.
  • 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_69ab4ac558388190962492cd2e1b0ce6 completed March 6, 2026, 9:44 p.m.
NER Named-entity recognition batch_69abd8b3f72c819085e88f1d74495593 completed March 7, 2026, 7:50 a.m.
NED1 Entity disambiguation (via context triple) batch_69af90a06c4c81908cc4dca65f2190bd completed March 10, 2026, 3:31 a.m.
NEDg Description generation batch_69af92089ef48190bcc31106e98e3cdf completed March 10, 2026, 3:37 a.m.
NED2 Entity disambiguation (via description) batch_69af927bb1d0819081ab11eb4470e28d completed March 10, 2026, 3:39 a.m.
Created at: March 6, 2026, 9:50 p.m.