Triple

T7385424
Position Surface form Disambiguated ID Type / Status
Subject Seigneur of Sark E170367 entity
Predicate hasTitleHolder P1911 FINISHED
Object Christopher Beaumont
Christopher Beaumont is a British nobleman who serves as the hereditary Seigneur (feudal lord) of the Channel Island of Sark.
 E660793 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: Christopher Beaumont | Statement: [Seigneur of Sark, hasTitleHolder, Christopher Beaumont]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Christopher Beaumont
Context triple: [Seigneur of Sark, hasTitleHolder, Christopher Beaumont]
  • A. Joseph Brocherel
    Joseph Brocherel was an Italian mountaineer known for participating in the pioneering ascent of Mount Kenya.
  • B. Stephen Geoffreys
    Stephen Geoffreys is an American actor best known for his cult-favorite horror and teen film roles of the 1980s.
  • C. Thomas Basset
    Thomas Basset was a 17th-century London bookseller and publisher known for issuing significant works of early modern philosophy and theology.
  • D. Guy de Vere
    Guy de Vere is a fictional nobleman and grieving lover who serves as the central speaker in Edgar Allan Poe’s poem "Lenore."
  • E. John Dupré
    John Dupré is a British philosopher of science known for his influential critiques of scientific reductionism and advocacy of a pluralistic view of the sciences.
  • 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: Christopher Beaumont
Triple: [Seigneur of Sark, hasTitleHolder, Christopher Beaumont]
Generated description
Christopher Beaumont is a British nobleman who serves as the hereditary Seigneur (feudal lord) of the Channel Island of Sark.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Christopher Beaumont
Target entity description: Christopher Beaumont is a British nobleman who serves as the hereditary Seigneur (feudal lord) of the Channel Island of Sark.
  • A. Joseph Brocherel
    Joseph Brocherel was an Italian mountaineer known for participating in the pioneering ascent of Mount Kenya.
  • B. Stephen Geoffreys
    Stephen Geoffreys is an American actor best known for his cult-favorite horror and teen film roles of the 1980s.
  • C. Thomas Basset
    Thomas Basset was a 17th-century London bookseller and publisher known for issuing significant works of early modern philosophy and theology.
  • D. Guy de Vere
    Guy de Vere is a fictional nobleman and grieving lover who serves as the central speaker in Edgar Allan Poe’s poem "Lenore."
  • E. John Dupré
    John Dupré is a British philosopher of science known for his influential critiques of scientific reductionism and advocacy of a pluralistic view of the sciences.
  • 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_69c68a5d0ed08190b6d361e68f813330 completed March 27, 2026, 1:47 p.m.
NER Named-entity recognition batch_69c6f1f117ec8190a97cbd0b35d5811a completed March 27, 2026, 9:09 p.m.
NED1 Entity disambiguation (via context triple) batch_69c802e23714819094a1b31c82a27fee completed March 28, 2026, 4:33 p.m.
NEDg Description generation batch_69c8038127408190947cb7002ccc0dec completed March 28, 2026, 4:36 p.m.
NED2 Entity disambiguation (via description) batch_69c8040a40088190b37192429678fd3e completed March 28, 2026, 4:38 p.m.
Created at: March 27, 2026, 3:08 p.m.