Triple

T4055171
Position Surface form Disambiguated ID Type / Status
Subject Maarten Tromp E84676 entity
Predicate givenName P17 FINISHED
Object Maarten
Maarten is a Dutch masculine given name, historically borne by notable figures such as the 17th-century admiral Maarten Tromp.
 E411394 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: Maarten | Statement: [Maarten Tromp, givenName, Maarten]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Maarten
Context triple: [Maarten Tromp, givenName, Maarten]
  • A. Michiel
    Michiel is a Dutch given name most famously borne by the 17th-century admiral Michiel de Ruyter.
  • B. Dirck
    Dirck is a Dutch masculine given name historically borne by several notable figures, including artists of the Dutch Golden Age.
  • C. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • D. Maarten ’t Hart
    Maarten ’t Hart is a Dutch writer and biologist known for his psychologically rich novels and essays, often drawing on his strict religious upbringing and love of classical music.
  • E. Johan Evertsen
    Johan Evertsen was a prominent 17th-century Dutch admiral who played a key role in the naval conflicts of the Dutch Republic, including the Anglo-Dutch Wars.
  • 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: Maarten
Triple: [Maarten Tromp, givenName, Maarten]
Generated description
Maarten is a Dutch masculine given name, historically borne by notable figures such as the 17th-century admiral Maarten Tromp.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Maarten
Target entity description: Maarten is a Dutch masculine given name, historically borne by notable figures such as the 17th-century admiral Maarten Tromp.
  • A. Michiel
    Michiel is a Dutch given name most famously borne by the 17th-century admiral Michiel de Ruyter.
  • B. Dirck
    Dirck is a Dutch masculine given name historically borne by several notable figures, including artists of the Dutch Golden Age.
  • C. Willem
    Willem is a given name, primarily used in Dutch-speaking regions, that corresponds to the English name William.
  • D. Maarten ’t Hart
    Maarten ’t Hart is a Dutch writer and biologist known for his psychologically rich novels and essays, often drawing on his strict religious upbringing and love of classical music.
  • E. Johan Evertsen
    Johan Evertsen was a prominent 17th-century Dutch admiral who played a key role in the naval conflicts of the Dutch Republic, including the Anglo-Dutch Wars.
  • 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_69aed933bec881909edfa28ebb69c634 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aefbabec608190a35d39d3d03b928b completed March 9, 2026, 4:56 p.m.
NED1 Entity disambiguation (via context triple) batch_69b562a0f19c819084d23c3802ce8ca6 completed March 14, 2026, 1:29 p.m.
NEDg Description generation batch_69b5666c19f4819084f7e584e34f82c2 completed March 14, 2026, 1:45 p.m.
NED2 Entity disambiguation (via description) batch_69b566cd444081908e61d131abd93d6d completed March 14, 2026, 1:46 p.m.
Created at: March 9, 2026, 3:38 p.m.