Triple

T9245863
Position Surface form Disambiguated ID Type / Status
Subject Philip the Good E222192 entity
Predicate givenName P17 FINISHED
Object Philip
Philip was the given name of Philip the Good, the influential 15th-century Duke of Burgundy known for expanding Burgundian power and patronizing the arts.
E786426 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: Philip | Statement: [Philip the Good, givenName, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip
Context triple: [Philip the Good, givenName, Philip]
  • A. Philip
    Philip is the given first name of the renowned British actor Basil Rathbone, best known for his definitive film portrayals of Sherlock Holmes.
  • B. Philip
    Philip is the middle name of George Philip Wells, the zoologist son of author H. G. Wells.
  • C. Philip
    Philip is the given first name of the acclaimed Sri Lankan-born Canadian writer Michael Ondaatje, best known for his novel "The English Patient."
  • D. Philip
    Philip is the given name of Philip Freneau, an American poet often called the “Poet of the American Revolution.”
  • E. Philip
    Philip is the given name of the late American character actor Philip Baker Hall, known for his prolific work in film and television.
  • 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: Philip
Triple: [Philip the Good, givenName, Philip]
Generated description
Philip was the given name of Philip the Good, the influential 15th-century Duke of Burgundy known for expanding Burgundian power and patronizing the arts.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philip
Target entity description: Philip was the given name of Philip the Good, the influential 15th-century Duke of Burgundy known for expanding Burgundian power and patronizing the arts.
  • A. Philip
    Philip was the given name of Philip the Bold, the influential 14th-century Duke of Burgundy from the French royal House of Valois.
  • B. Philip
    Philip, known historically as Philip the Handsome, was a late 15th- and early 16th-century Habsburg ruler who became Duke of Burgundy and King of Castile through marriage to Joanna of Castile.
  • C. Philip
    Philip was the given name of Philip IV of France, the medieval Capetian king known for his conflicts with the papacy and the suppression of the Knights Templar.
  • D. Philip
    Philip was the given name of Philip V of France, a Capetian king who ruled France and Navarre in the early 14th century.
  • E. Philip
    Philip was a member of the noble House of Chalon, a Burgundian-French prince active in the late Middle Ages.
  • 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_69ca841d2b18819089f9faf5b2c2aec0 completed March 30, 2026, 2:09 p.m.
NER Named-entity recognition batch_69cd03f181e081908d9ff7dc6f86420e completed April 1, 2026, 11:39 a.m.
NED1 Entity disambiguation (via context triple) batch_69d077f14804819098f443a2517ad461 completed April 4, 2026, 2:31 a.m.
NEDg Description generation batch_69d07933d26c81909257a4e6a5fe1c6e completed April 4, 2026, 2:36 a.m.
NED2 Entity disambiguation (via description) batch_69d079ed3eb48190b410934b809ebc3d completed April 4, 2026, 2:39 a.m.
Created at: March 30, 2026, 7:30 p.m.