Triple

T16636424
Position Surface form Disambiguated ID Type / Status
Subject de Ross E404215 entity
Predicate hasEtymologicalElement P5801 FINISHED
Object Ross
Ross is a given name and surname of Scottish origin, commonly associated with the Ross clan and the historical region of Ross in the Scottish Highlands.
E1159573 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: Ross | Statement: [de Ross, hasEtymologicalElement, Ross]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Ross
Context triple: [de Ross, hasEtymologicalElement, Ross]
  • A. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • B. John
    John is the given name of Lord Eldon, a prominent British lawyer and politician who served as Lord Chancellor in the early 19th century.
  • C. John
    John Bacon was a 19th-century American politician who served in the Wisconsin State Assembly.
  • D. John
    John is the given name of John Francis Bentley, the English architect best known for designing Westminster Cathedral in London.
  • E. John
    John is the first name of American sports commentator and television personality Skip Bayless.
  • 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: Ross
Triple: [de Ross, hasEtymologicalElement, Ross]
Generated description
Ross is a given name and surname of Scottish origin, commonly associated with the Ross clan and the historical region of Ross in the Scottish Highlands.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Ross
Target entity description: Ross is a given name and surname of Scottish origin, commonly associated with the Ross clan and the historical region of Ross in the Scottish Highlands.
  • A. Ross
    Ross is a common Scottish-origin surname borne by numerous notable figures across fields such as politics, science, arts, and sports.
  • B. Ross
    Ross is a small, affluent residential town in Marin County, California, known for its wooded setting and quiet, upscale character.
  • C. Ross
    Ross is a historic region in the Scottish Highlands traditionally associated with Clan Ross and known for its rugged landscapes and coastal scenery.
  • D. Ross chosen
    Ross is a masculine given name of Scottish and English origin, commonly used in English-speaking countries.
  • E. John
    John B. Magruder was a Confederate major general during the American Civil War, known for his leadership in the Peninsula Campaign and his flamboyant personality.
  • F. None of above.

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_6a008a2ce64c8190970c86b729a6ff83 completed May 10, 2026, 1:37 p.m.
NEDg Description generation batch_6a008b001c988190b0ddec3be0ed6fd0 completed May 10, 2026, 1:41 p.m.
NED2 Entity disambiguation (via description) batch_6a008ba8227881908b1ac6e30d2e7c32 completed May 10, 2026, 1:44 p.m.
Created at: April 10, 2026, 5:17 a.m.