Triple

T10269240
Position Surface form Disambiguated ID Type / Status
Subject Edward Vreeland E240791 entity
Predicate familyName P18 FINISHED
Object Vreeland
Vreeland is a surname of Dutch origin borne by various notable individuals in politics, fashion, and the arts.
 E853102 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: Vreeland | Statement: [Edward Vreeland, familyName, Vreeland]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Vreeland
Context triple: [Edward Vreeland, familyName, Vreeland]
  • A. Voletta
    Voletta is the first name of Voletta Wallace, best known as the mother of the late rapper The Notorious B.I.G.
  • B. Tiptree
    Tiptree is a human colony world in the Mass Effect universe known primarily as the birthplace of pilot Jeff "Joker" Moreau.
  • C. Vita & Virginia
    Vita & Virginia is a 2018 biographical drama film that explores the romantic relationship between writers Vita Sackville-West and Virginia Woolf.
  • D. Là-bas
    Là-bas is a controversial 1891 novel by French writer Joris-Karl Huysmans that explores Satanism, decadence, and spiritual crisis in fin-de-siècle France.
  • E. Lucinda
    Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
  • 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: Vreeland
Triple: [Edward Vreeland, familyName, Vreeland]
Generated description
Vreeland is a surname of Dutch origin borne by various notable individuals in politics, fashion, and the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Vreeland
Target entity description: Vreeland is a surname of Dutch origin borne by various notable individuals in politics, fashion, and the arts.
  • A. Voletta
    Voletta is the first name of Voletta Wallace, best known as the mother of the late rapper The Notorious B.I.G.
  • B. Tiptree
    Tiptree is a human colony world in the Mass Effect universe known primarily as the birthplace of pilot Jeff "Joker" Moreau.
  • C. Vita & Virginia
    Vita & Virginia is a 2018 biographical drama film that explores the romantic relationship between writers Vita Sackville-West and Virginia Woolf.
  • D. Là-bas
    Là-bas is a controversial 1891 novel by French writer Joris-Karl Huysmans that explores Satanism, decadence, and spiritual crisis in fin-de-siècle France.
  • E. Lucinda
    Lucinda is a feminine given name used in various cultures, often considered a variant of Lucy or Lucille.
  • 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_69d381a94c1881908fc38fc263d9b9c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d27033c081908721f6f8568059f2 completed April 7, 2026, 9:46 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f80c25888190a3e8a2c513df7043 completed April 9, 2026, 12:51 a.m.
NEDg Description generation batch_69d6fcaca55c81908a48ac2a0ce24b85 completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d6fd772bc08190bf270f5fc767fb29 completed April 9, 2026, 1:14 a.m.
Created at: April 6, 2026, 11:35 a.m.