Triple

T18518474
Position Surface form Disambiguated ID Type / Status
Subject Cinderella (ballet) E452524 entity
Predicate hasCharacter P2308 FINISHED
Object Prince
Prince is the noble male protagonist in the Cinderella ballet who falls in love with Cinderella and ultimately marries her.
E79131 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: Prince | Statement: [Cinderella (ballet), hasCharacter, Prince]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Prince
Context triple: [Cinderella (ballet), hasCharacter, Prince]
  • A. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • B. John
    John is the given name of John Rennie the Younger, a prominent 19th-century British civil engineer known for designing notable bridges and docks.
  • C. John
    John is the given name of John Chadwick, a renowned British linguist and classical scholar noted for his work on deciphering the ancient Greek script Linear B.
  • D. John
    John is the given name of American billionaire businessman and media magnate John C. Malone.
  • E. John
    John is the given first name of American bass guitarist Jack Casady, known for his work with Jefferson Airplane and Hot Tuna.
  • 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: Prince
Triple: [Cinderella (ballet), hasCharacter, Prince]
Generated description
Prince is the noble male protagonist in the Cinderella ballet who falls in love with Cinderella and ultimately marries her.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Prince
Target entity description: Prince is the noble male protagonist in the Cinderella ballet who falls in love with Cinderella and ultimately marries her.
  • A. Prince
    Prince was an innovative American singer, songwriter, multi-instrumentalist, and producer known for his eclectic musical style, flamboyant stage presence, and profound influence on pop, funk, rock, and R&B music.
  • B. Prince chosen
    Prince is a royal title traditionally granted to male members of a monarchy, often denoting a son or close relative of a king or queen and sometimes a sovereign ruler of a principality.
  • C. Prince
    "Prince" is a notable work associated with Indian actress and writer Nandana Sen, contributing to her recognition in the arts.
  • D. John
    John is the given name of the late American comedian and actor John Belushi, famed for his work on "Saturday Night Live" and in films like "Animal House" and "The Blues Brothers."
  • E. John
    John is the given name of John Rennie the Younger, a prominent 19th-century British civil engineer known for designing notable bridges and docks.
  • 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_69d8d386df84819092355ebb260d848e completed April 10, 2026, 10:40 a.m.
NER Named-entity recognition batch_69e5338be20c8190bc7fe8de050345a2 completed April 19, 2026, 7:57 p.m.
NED1 Entity disambiguation (via context triple) batch_6a04916eeed88190bf8df75fc83ba145 completed May 13, 2026, 2:57 p.m.
NEDg Description generation batch_6a04924c2fd08190a824c470b732626f completed May 13, 2026, 3:01 p.m.
NED2 Entity disambiguation (via description) batch_6a0492e3a6dc8190902bb46bec64c07e completed May 13, 2026, 3:04 p.m.
Created at: April 10, 2026, 11:36 a.m.