Triple

T17441989
Position Surface form Disambiguated ID Type / Status
Subject Lord Francis Douglas E424678 entity
Predicate givenName P17 FINISHED
Object Francis
Francis is the given name of Lord Francis Douglas, a 19th-century Scottish nobleman known for dying during the first ascent of the Matterhorn.
E1269055 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: Francis | Statement: [Lord Francis Douglas, givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Lord Francis Douglas, givenName, Francis]
  • A. Francis
    Francis is the given name of X. Atencio, the Disney animator and Imagineer known for his work on attractions like Pirates of the Caribbean and The Haunted Mansion.
  • B. Francis
    Francis is a person known primarily through their association as a friend of Heimlich.
  • C. Francis
    Francis is the middle name of American motion picture and television pioneer Charles Francis Jenkins.
  • D. Francis
    Francis is the middle name of the English architect John Francis Bentley, best known for designing Westminster Cathedral in London.
  • E. Francis
    Francis is the given name of Sir Francis Walsingham, the principal secretary and spymaster to Queen Elizabeth I of England.
  • 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: Francis
Triple: [Lord Francis Douglas, givenName, Francis]
Generated description
Francis is the given name of Lord Francis Douglas, a 19th-century Scottish nobleman known for dying during the first ascent of the Matterhorn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Francis
Target entity description: Francis is the given name of Lord Francis Douglas, a 19th-century Scottish nobleman known for dying during the first ascent of the Matterhorn.
  • A. Francis
    Francis is the given name of Francis Edward Rawdon-Hastings, a prominent British military commander and colonial administrator of the late 18th and early 19th centuries.
  • B. Francis
    Francis was the given name of Francis of Lorraine, a 16th-century French nobleman who became Duke of Lorraine and played a significant role in European dynastic politics.
  • C. Francis
    Francis is the given name of Francis Hastings, 2nd Earl of Huntingdon, a 16th-century English nobleman and politician.
  • D. Francis
    Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
  • E. Francis
    Francis is the given name of Frank Russell, 2nd Earl Russell, a British aristocrat and politician.
  • 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_69d889db0ba481908402409af3b37917 completed April 10, 2026, 5:25 a.m.
NER Named-entity recognition batch_69e44ff82bbc819095dd0621137da809 completed April 19, 2026, 3:46 a.m.
NED1 Entity disambiguation (via context triple) batch_6a01aff63d688190b8fa63c8edafc01c completed May 11, 2026, 10:31 a.m.
NEDg Description generation batch_6a01b0a265348190a884a58f3caf54df completed May 11, 2026, 10:34 a.m.
NED2 Entity disambiguation (via description) batch_6a01b1b0553c8190bb76969fe95154ff completed May 11, 2026, 10:38 a.m.
Created at: April 10, 2026, 5:46 a.m.