Triple

T4860625
Position Surface form Disambiguated ID Type / Status
Subject Thomas Dekker E108648 entity
Predicate familyName P18 FINISHED
Object Dekker
Dekker is a Dutch-origin surname borne by various notable individuals across fields such as literature, sports, and entertainment.
 E473763 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: Dekker | Statement: [Thomas Dekker, familyName, Dekker]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Dekker
Context triple: [Thomas Dekker, familyName, Dekker]
  • A. Koopmans
    Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
  • B. Tanenbaum
    Tanenbaum is the surname of Andrew S. Tanenbaum, a prominent computer scientist known for his influential work on operating systems and computer networks.
  • C. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • E. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • 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: Dekker
Triple: [Thomas Dekker, familyName, Dekker]
Generated description
Dekker is a Dutch-origin surname borne by various notable individuals across fields such as literature, sports, and entertainment.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Dekker
Target entity description: Dekker is a Dutch-origin surname borne by various notable individuals across fields such as literature, sports, and entertainment.
  • A. Koopmans
    Koopmans is a Dutch surname most notably associated with Nobel Prize–winning economist Tjalling C. Koopmans.
  • B. Tanenbaum
    Tanenbaum is the surname of Andrew S. Tanenbaum, a prominent computer scientist known for his influential work on operating systems and computer networks.
  • C. Schröder
    Schröder is a common German surname borne by numerous notable figures in politics, sports, and the arts.
  • D. Oberholtzer
    Oberholtzer is a German-origin surname, often associated with Mennonite and Amish families, that serves as a variant of the Overholt family name.
  • E. Bryc
    Bryc is an alternative spelling of the given name Bryce, typically used as a modern or stylistic variant.
  • 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_69bd440b965081908b0557721cae6338 completed March 20, 2026, 12:56 p.m.
NER Named-entity recognition batch_69bd6d5e247c8190b6ae4e9b529f0345 completed March 20, 2026, 3:53 p.m.
NED1 Entity disambiguation (via context triple) batch_69be5cf49590819084de6b655f1c8e88 completed March 21, 2026, 8:55 a.m.
NEDg Description generation batch_69be5e7337f481909eb4a41ffe8cd1fe completed March 21, 2026, 9:01 a.m.
NED2 Entity disambiguation (via description) batch_69be5eaa968081908dafb523f05d597f completed March 21, 2026, 9:02 a.m.
Created at: March 20, 2026, 1:26 p.m.