Triple

T1920103
Position Surface form Disambiguated ID Type / Status
Subject West Side Story E40105 entity
Predicate mainCharacter P1183 FINISHED
Object 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.
 E217312 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: [West Side Story, mainCharacter, Tony]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Tony
Context triple: [West Side Story, mainCharacter, Tony]
  • A. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • B. 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.
  • C. Tony
    Tony is a fictional character from the animated series "Wild Target," known for his adventurous role within the show's ensemble cast.
  • D. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • E. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • 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: [West Side Story, mainCharacter, Tony]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Tony
Target entity description: 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.
  • A. Tony
    The Tony is a prestigious American theater award presented annually to recognize excellence in Broadway productions.
  • B. 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.
  • C. Tony
    Tony is a fictional character from the animated series "Wild Target," known for his adventurous role within the show's ensemble cast.
  • D. Tom
    Tom is a common masculine given name, often used in English-speaking countries as a short form of Thomas.
  • E. Ted
    Ted is a masculine given name, often a diminutive of Theodore or Edward, commonly used in English-speaking countries.
  • 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_69a8864298748190a2f2fd34f7ef8d77 completed March 4, 2026, 7:21 p.m.
NER Named-entity recognition batch_69abb213af0481909429ec971860a3fd completed March 7, 2026, 5:05 a.m.
NED1 Entity disambiguation (via context triple) batch_69adf3df3fdc819095cfdf508e8bdb22 completed March 8, 2026, 10:10 p.m.
NEDg Description generation batch_69adf598ee5c819081549042859e076f completed March 8, 2026, 10:18 p.m.
NED2 Entity disambiguation (via description) batch_69adf6a6cc18819092a4e6535ce1376c completed March 8, 2026, 10:22 p.m.
Created at: March 4, 2026, 7:35 p.m.