Triple

T11325856
Position Surface form Disambiguated ID Type / Status
Subject Philip III, Count of Nassau-Weilburg E268214 entity
Predicate hasGivenName P17 FINISHED
Object Philip
Philip was the given name of Philip III, Count of Nassau-Weilburg, a late medieval German nobleman from the House of Nassau.
E919265 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 III, Count of Nassau-Weilburg, hasGivenName, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip
Context triple: [Philip III, Count of Nassau-Weilburg, hasGivenName, Philip]
  • A. Philip
    Philip was the given name of Philip V, the first Bourbon king of Spain who reigned in the early 18th century.
  • B. Philip
    Philip is a fictional character portrayed by British actor Bill Nighy, known for his distinctive, understated charm and dry wit.
  • C. Philip
    Philip is the given name of Philip Sheridan, a prominent Union general in the American Civil War who later became Commanding General of the U.S. Army.
  • D. 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.
  • E. Philip
    Philip was the given name of Philip the Bold, the influential 14th-century Duke of Burgundy from the French royal House of Valois.
  • 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 III, Count of Nassau-Weilburg, hasGivenName, Philip]
Generated description
Philip was the given name of Philip III, Count of Nassau-Weilburg, a late medieval German nobleman from the House of Nassau.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philip
Target entity description: Philip was the given name of Philip III, Count of Nassau-Weilburg, a late medieval German nobleman from the House of Nassau.
  • A. Philip
    Philip is the middle name of Charles Philip of Brunswick-Lüneburg, a historical German nobleman of the House of Welf.
  • B. 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.
  • C. Philip
    Philip was the given name of Philip the Bold, the influential 14th-century Duke of Burgundy from the French royal House of Valois.
  • D. 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.
  • 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_69d6aacb1f0881908c84a349fd1be047 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e9e2253881909518cad0f12ef612 completed April 9, 2026, 6:03 p.m.
NED1 Entity disambiguation (via context triple) batch_69e525fb8d74819089d1505d1f0f116c completed April 19, 2026, 6:59 p.m.
NEDg Description generation batch_69e52c82b6108190aec9b6e9d726f803 completed April 19, 2026, 7:26 p.m.
NED2 Entity disambiguation (via description) batch_69e531c2a4b88190bb1efd57536bae9a completed April 19, 2026, 7:49 p.m.
Created at: April 8, 2026, 9:32 p.m.