Triple

T5097823
Position Surface form Disambiguated ID Type / Status
Subject Philip IV of France E114910 entity
Predicate givenName P17 FINISHED
Object 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.
E494757 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 IV of France, givenName, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Philip
Context triple: [Philip IV of France, givenName, Philip]
  • A. 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.
  • B. Philip
    Philip was the given name of Philip V, the first Bourbon king of Spain who reigned in the early 18th century.
  • C. Philip
    Philip is the given first name of Phil Esposito, the Hall of Fame Canadian ice hockey center and former NHL star.
  • D. Philip
    Philip is the given first name of the renowned British actor Basil Rathbone, best known for his definitive film portrayals of Sherlock Holmes.
  • E. Philip
    Philip is the given name of Philip Barton Key II, the 19th-century U.S. Attorney for the District of Columbia whose 1859 murder by Congressman Daniel Sickles became a landmark legal case.
  • 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 IV of France, givenName, Philip]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Philip
Target entity description: 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.
  • 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 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.
  • C. Philip
    Philip is the middle name of Charles Philip of Brunswick-Lüneburg, a historical German nobleman of the House of Welf.
  • D. Philip
    Philip is a masculine given name of Greek origin meaning "lover of horses," historically borne by various kings, saints, and notable figures.
  • E. Philip
    Philip is the given first name of Phil Jackson, the legendary NBA coach and former player known for winning multiple championships with the Chicago Bulls and Los Angeles Lakers.
  • 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_69bd443fc49c819089629c00e311310c completed March 20, 2026, 12:57 p.m.
NER Named-entity recognition batch_69bd7567d21081909227ed8f08b74c71 completed March 20, 2026, 4:27 p.m.
NED1 Entity disambiguation (via context triple) batch_69beba8529ec8190bb1e97eb1044c899 completed March 21, 2026, 3:34 p.m.
NEDg Description generation batch_69bebc65f37c819088077a02c5a2939e completed March 21, 2026, 3:42 p.m.
NED2 Entity disambiguation (via description) batch_69bebcc8ad2481909ec38247b32dfdb0 completed March 21, 2026, 3:44 p.m.
Created at: March 20, 2026, 1:40 p.m.