Triple

T11605552
Position Surface form Disambiguated ID Type / Status
Subject Henri van Breda E275248 entity
Predicate familyName P18 FINISHED
Object van Breda
Van Breda is a Dutch surname associated with various notable individuals, including figures in South African and European history and public life.
 E936971 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: van Breda | Statement: [Henri van Breda, familyName, van Breda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: van Breda
Context triple: [Henri van Breda, familyName, van Breda]
  • A. Spragga Benz
    Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
  • B. Breda A650
    The Breda A650 is a heavy-rail rapid transit car used by the Los Angeles Metro system, notable for serving lines such as the Red Line in its subway network.
  • C. Veld Koning Machinefabriek
    Veld Koning Machinefabriek is the Dutch engineering and manufacturing company that originally established the amusement ride and roller coaster manufacturer Vekoma.
  • D. Auta
    Auta is a small settlement on the island of Mitiaro in the Cook Islands.
  • E. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • 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: van Breda
Triple: [Henri van Breda, familyName, van Breda]
Generated description
Van Breda is a Dutch surname associated with various notable individuals, including figures in South African and European history and public life.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: van Breda
Target entity description: Van Breda is a Dutch surname associated with various notable individuals, including figures in South African and European history and public life.
  • A. Spragga Benz
    Spragga Benz is a prominent Jamaican dancehall deejay known for his influential 1990s hits and collaborations across reggae, hip hop, and international pop music.
  • B. Breda A650
    The Breda A650 is a heavy-rail rapid transit car used by the Los Angeles Metro system, notable for serving lines such as the Red Line in its subway network.
  • C. Veld Koning Machinefabriek
    Veld Koning Machinefabriek is the Dutch engineering and manufacturing company that originally established the amusement ride and roller coaster manufacturer Vekoma.
  • D. Auta
    Auta is a small settlement on the island of Mitiaro in the Cook Islands.
  • E. Suter
    Suter is a surname of Germanic origin, often associated with individuals of Swiss or German heritage.
  • 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_69d6aaf84b548190ac072e4fb89ae18f completed April 8, 2026, 7:22 p.m.
NER Named-entity recognition batch_69d895502e0081909ee9c3d45d26cd91 completed April 10, 2026, 6:14 a.m.
NED1 Entity disambiguation (via context triple) batch_69ee87077d008190874a8339b64dd5ec completed April 26, 2026, 9:43 p.m.
NEDg Description generation batch_69ee9cf1cb2481908bc473c87bc42d60 completed April 26, 2026, 11:17 p.m.
NED2 Entity disambiguation (via description) batch_69eecd31894481908dbd55f605c693f9 completed April 27, 2026, 2:42 a.m.
Created at: April 8, 2026, 9:38 p.m.