Triple

T16636431
Position Surface form Disambiguated ID Type / Status
Subject de Ross E404215 entity
Predicate isRelatedSurname P3889 FINISHED
Object de Ros
de Ros is an English surname historically associated with a prominent medieval noble family, including barons and earls, in Britain.
E1224437 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: de Ros | Statement: [de Ross, isRelatedSurname, de Ros]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: de Ros
Context triple: [de Ross, isRelatedSurname, de Ros]
  • A. Rosnoën
    Rosnoën is a small commune in the Finistère department of Brittany in northwestern France, known for its scenic rural landscapes and proximity to coastal inlets.
  • B. Vosch
    Vosch is a variant form of the name Vos, likely used as a surname or personal name in certain linguistic or regional contexts.
  • C. de Mol
    De Mol is a Dutch surname most prominently associated with media tycoon John de Mol and his influential family in the television and entertainment industry.
  • D. Roero
    Roero is a hilly wine-producing area in Italy’s Piedmont region, renowned for its aromatic white Arneis and elegant Nebbiolo-based reds.
  • E. Di Rupo
    Di Rupo is the surname of Elio Di Rupo, a prominent Belgian socialist politician and former Prime Minister of Belgium.
  • 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: de Ros
Triple: [de Ross, isRelatedSurname, de Ros]
Generated description
de Ros is an English surname historically associated with a prominent medieval noble family, including barons and earls, in Britain.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: de Ros
Target entity description: de Ros is an English surname historically associated with a prominent medieval noble family, including barons and earls, in Britain.
  • A. Rosnoën
    Rosnoën is a small commune in the Finistère department of Brittany in northwestern France, known for its scenic rural landscapes and proximity to coastal inlets.
  • B. Vosch
    Vosch is a variant form of the name Vos, likely used as a surname or personal name in certain linguistic or regional contexts.
  • C. de Mol
    De Mol is a Dutch surname most prominently associated with media tycoon John de Mol and his influential family in the television and entertainment industry.
  • D. Roero
    Roero is a hilly wine-producing area in Italy’s Piedmont region, renowned for its aromatic white Arneis and elegant Nebbiolo-based reds.
  • E. Di Rupo
    Di Rupo is the surname of Elio Di Rupo, a prominent Belgian socialist politician and former Prime Minister of Belgium.
  • 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_69d8838a41f08190b0c3f79c47df5078 completed April 10, 2026, 4:58 a.m.
NER Named-entity recognition batch_69e378ea4b848190bf7c95dad8a855f0 completed April 18, 2026, 12:28 p.m.
NED1 Entity disambiguation (via context triple) batch_6a007dc28df48190b01c1328df24df60 completed May 10, 2026, 12:44 p.m.
NEDg Description generation batch_6a007e8cff9881908c6b86da38fc2f08 completed May 10, 2026, 12:48 p.m.
NED2 Entity disambiguation (via description) batch_6a007f53918481908d84ecf50a562266 completed May 10, 2026, 12:51 p.m.
Created at: April 10, 2026, 5:17 a.m.