Triple

T12093541
Position Surface form Disambiguated ID Type / Status
Subject Philip of Habsburg E288009 entity
Predicate givenName P17 FINISHED
Object Philip
Philip was a common given name among several prominent Habsburg rulers, including kings of Spain and other European territories.
E672029 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 of Habsburg, givenName, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip
Context triple: [Philip of Habsburg, givenName, Philip]
  • 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 a medieval royal figure, notable as the son of Holy Roman Emperor Frederick II and Isabella of England, linking the Hohenstaufen and English royal dynasties.
  • C. Philip
    Philip is the given first name of Phil Lynott, the charismatic Irish musician best known as the frontman and bassist of the rock band Thin Lizzy.
  • D. Philip
    Philip is the given name of Philip W. Crosby, an influential American businessman and author known for his work in quality management and the concept of "zero defects."
  • E. Philip
    Philip is a character in Helen Garner’s novella "The Children’s Bach," involved in the intricate emotional and domestic entanglements that drive the story.
  • 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 of Habsburg, givenName, Philip]
Generated description
Philip was a common given name among several prominent Habsburg rulers, including kings of Spain and other European territories.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philip
Target entity description: Philip was a common given name among several prominent Habsburg rulers, including kings of Spain and other European territories.
  • 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 was the given name of Philip the Good, the influential 15th-century Duke of Burgundy known for expanding Burgundian power and patronizing the arts.
  • C. Philip chosen
    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.
  • D. 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.
  • E. Philip
    Philip was the given name of Philip V of France, a Capetian king who ruled France and Navarre in the early 14th century.
  • 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_69d6ab4964708190850585628b287b0c completed April 8, 2026, 7:23 p.m.
NER Named-entity recognition batch_69d91550ce508190babf5755e1553734 completed April 10, 2026, 3:20 p.m.
NED1 Entity disambiguation (via context triple) batch_69f5f654eb1881908d656009f1362ecf completed May 2, 2026, 1:04 p.m.
NEDg Description generation batch_69f5fd79da748190b3f0dd7d7a46314d completed May 2, 2026, 1:34 p.m.
NED2 Entity disambiguation (via description) batch_69f5feeeeb2081908191b1c2d1c2fbfd completed May 2, 2026, 1:41 p.m.
Created at: April 8, 2026, 9:48 p.m.