Triple

T10252701
Position Surface form Disambiguated ID Type / Status
Subject Master Class E240382 entity
Predicate character P662 FINISHED
Object Tony
Tony is a fictional character from the play "Master Class," which dramatizes a teaching session led by opera legend Maria Callas.
E854045 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: Tony | Statement: [Master Class, character, Tony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tony
Context triple: [Master Class, character, Tony]
  • A. Tony
    Tony is a fictional character from the animated series "Wild Target," known for his adventurous role within the show's ensemble cast.
  • B. Tony
    Tony is the idealistic young protagonist of the musical *West Side Story*, whose forbidden love for Maria drives the story’s modern retelling of *Romeo and Juliet* in 1950s New York.
  • C. Tony
    Tony is the NATO reporting name for the Japanese World War II Kawasaki Ki-61 fighter aircraft.
  • D. Tony
    Tony is a common masculine given name, often used as a diminutive of Anthony or Antonio.
  • E. Tony
    Tony is the central romantic lead in the musical "The Most Happy Fella," an aging Italian-American vintner whose love story drives the plot.
  • 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: Tony
Triple: [Master Class, character, Tony]
Generated description
Tony is a fictional character from the play "Master Class," which dramatizes a teaching session led by opera legend Maria Callas.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Tony
Target entity description: Tony is a fictional character from the play "Master Class," which dramatizes a teaching session led by opera legend Maria Callas.
  • A. Tony
    Tony is the central romantic lead in the musical "The Most Happy Fella," an aging Italian-American vintner whose love story drives the plot.
  • B. Tony
    Tony is the idealistic young protagonist of the musical *West Side Story*, whose forbidden love for Maria drives the story’s modern retelling of *Romeo and Juliet* in 1950s New York.
  • C. Tony
    Tony is a fictional character from the British television drama series "Time of Your Life."
  • D. Tony
    Tony is one of the central protagonists in Margaret Atwood’s novel "The Robber Bride," known for her intellectual, introspective nature and complex relationships with the other main characters.
  • E. Tony
    Tony is a fictional character from the animated series "Wild Target," known for his adventurous role within the show's ensemble cast.
  • 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_69d381a7e198819090280d5ab885d59e completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d4d23f106c81909c1ce20a2ffa86ea completed April 7, 2026, 9:45 a.m.
NED1 Entity disambiguation (via context triple) batch_69d6f78a6efc819091f8303a6cfe4c8b completed April 9, 2026, 12:49 a.m.
NEDg Description generation batch_69d6fcab0bfc8190b47bc165ef3eb15d completed April 9, 2026, 1:11 a.m.
NED2 Entity disambiguation (via description) batch_69d70fc3b15081908d1b67a7094c6210 completed April 9, 2026, 2:32 a.m.
Created at: April 6, 2026, 11:29 a.m.