Triple

T15144593
Position Surface form Disambiguated ID Type / Status
Subject Lord Moira (Marquess of Hastings) E361773 entity
Predicate givenName P17 FINISHED
Object Francis
Francis was the given name of Lord Moira, later known as the Marquess of Hastings, a prominent British soldier and colonial administrator of the late 18th and early 19th centuries.
E718102 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 Moira (Marquess of Hastings), givenName, Francis]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Francis
Context triple: [Lord Moira (Marquess of Hastings), givenName, Francis]
  • A. Francis
    Francis is the given first name of Daley Thompson, the celebrated British decathlete and double Olympic gold medalist.
  • B. Francis
    Francis is the given first name of the American actor Frank Morgan, best known for his role as the Wizard in "The Wizard of Oz."
  • C. Francis
    Francis is the middle name of Samuel Francis Du Pont, a prominent 19th-century U.S. Navy admiral from the Du Pont family.
  • D. Francis
    Francis is the given first name of Scottish former professional footballer Frank McAvennie.
  • E. 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.
  • 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 Moira (Marquess of Hastings), givenName, Francis]
Generated description
Francis was the given name of Lord Moira, later known as the Marquess of Hastings, a prominent British soldier and colonial administrator of the late 18th and early 19th centuries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Francis
Target entity description: Francis was the given name of Lord Moira, later known as the Marquess of Hastings, a prominent British soldier and colonial administrator of the late 18th and early 19th centuries.
  • A. Francis chosen
    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 is the given name of Frank Pakenham, 7th Earl of Longford, a prominent British Labour politician, social reformer, and Roman Catholic intellectual.
  • C. Francis
    Francis is the given name of Francis John Clarence Westenra Plantagenet Hastings, the 16th Earl of Huntingdon, a British peer and artist.
  • D. Francis
    Francis is the given name of Frank Russell, 2nd Earl Russell, a British aristocrat and politician.
  • E. Francis
    Francis was a German nobleman who served as Duke of Saxe-Coburg-Saalfeld in the late 18th and early 19th centuries.
  • 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_69d85a0759908190b8a051d2e2a1cbe6 completed April 10, 2026, 2:01 a.m.
NER Named-entity recognition batch_69e005c71b688190b2e8ccfdf4db9037 completed April 15, 2026, 9:40 p.m.
NED1 Entity disambiguation (via context triple) batch_69febff02e648190bd10f04a374da227 completed May 9, 2026, 5:02 a.m.
NEDg Description generation batch_69fec08c37dc8190a59289e4ee76beab completed May 9, 2026, 5:05 a.m.
NED2 Entity disambiguation (via description) batch_69fec10cd2d48190ba96885ca604a853 completed May 9, 2026, 5:07 a.m.
Created at: April 10, 2026, 3:07 a.m.