Triple

T1678679
Position Surface form Disambiguated ID Type / Status
Subject Bill Nighy E36288 entity
Predicate characterPortrayed P1507 FINISHED
Object Philip
Philip is a fictional character portrayed by British actor Bill Nighy, known for his distinctive, understated charm and dry wit.
 E197577 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: [Bill Nighy, characterPortrayed, Philip]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Philip
Context triple: [Bill Nighy, characterPortrayed, 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 was the given name of Philip V, the first Bourbon king of Spain who reigned in the early 18th century.
  • D. Philip
    Philip is the given first name of Phil Esposito, the Hall of Fame Canadian ice hockey center and former NHL star.
  • E. Philip
    Philip is one of the Twelve Apostles of Jesus in Christian tradition, recognized as an early follower and messenger of Christ.
  • 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: [Bill Nighy, characterPortrayed, Philip]
Generated description
Philip is a fictional character portrayed by British actor Bill Nighy, known for his distinctive, understated charm and dry wit.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Philip
Target entity description: Philip is a fictional character portrayed by British actor Bill Nighy, known for his distinctive, understated charm and dry wit.
  • 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 Archibald Primrose, 5th Earl of Rosebery, a prominent British Liberal statesman and former Prime Minister of the United Kingdom.
  • C. Philip
    Philip is one of the Twelve Apostles of Jesus in Christian tradition, recognized as an early follower and messenger of Christ.
  • D. 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.
  • E. Philip
    Philip is the middle name of Charles Philip of Brunswick-Lüneburg, a historical German nobleman of the House of Welf.
  • 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_69a886139ed081909af0940aa9313512 completed March 4, 2026, 7:20 p.m.
NER Named-entity recognition batch_69aa625f7e1081909c3c4fe76625783a completed March 6, 2026, 5:13 a.m.
NED1 Entity disambiguation (via context triple) batch_69ada0c87ff88190a6ebdf9566856e03 completed March 8, 2026, 4:16 p.m.
NEDg Description generation batch_69ada524a234819082f94430da4e802d completed March 8, 2026, 4:34 p.m.
NED2 Entity disambiguation (via description) batch_69ada5bc32ac8190a921410bdfa465fa completed March 8, 2026, 4:37 p.m.
Created at: March 4, 2026, 7:29 p.m.