Triple

T20517245
Position Surface form Disambiguated ID Type / Status
Subject Center Stage E503711 entity
Predicate mainCharacter P1183 FINISHED
Object Charlie
Charlie is the protagonist of the film "Center Stage," a young ballet dancer navigating the challenges of elite dance training and personal growth.
E1315872 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: Charlie | Statement: [Center Stage, mainCharacter, Charlie]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Charlie
Context triple: [Center Stage, mainCharacter, Charlie]
  • A. Charlie
    Charlie is the ambitious New York City hustler and small-time crook who serves as the central protagonist in the crime drama film "The Pope of Greenwich Village."
  • B. Charlie
    Charlie is a fictional character portrayed by American actor Jared Rushton, best known for his roles in late-1980s films.
  • C. Charlie
    Charlie is a person whose full name is Charlie Watson.
  • D. Charlie
    Charlie is the central protagonist in the romantic film "Love, Wedding, Marriage," around whom the story’s relationship and marital themes revolve.
  • E. Charlie
    Charlie is a fictional character who serves as the central figure in the story "The Winner."
  • 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: Charlie
Triple: [Center Stage, mainCharacter, Charlie]
Generated description
Charlie is the protagonist of the film "Center Stage," a young ballet dancer navigating the challenges of elite dance training and personal growth.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Charlie
Target entity description: Charlie is the protagonist of the film "Center Stage," a young ballet dancer navigating the challenges of elite dance training and personal growth.
  • A. Charlie chosen
    Charlie is a central character in the 2000 dance film "Center Stage," portrayed as a determined young ballet student navigating the pressures and politics of a prestigious dance academy.
  • B. Charlie
    Charlie is the central protagonist of the film "The Business," around whom the story’s criminal and dramatic events revolve.
  • C. Charlie
    Charlie is a central character in the indie film "Happythankyoumoreplease," portrayed as a young New Yorker navigating relationships, personal growth, and the search for meaning.
  • D. Charlie
    Charlie is the central protagonist in the romantic film "Love, Wedding, Marriage," around whom the story’s relationship and marital themes revolve.
  • E. Charlie
    Charlie is a central character in the romantic comedy film "French Kiss," serving as the unfaithful fiancé whose actions set the story’s events in motion.
  • 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_69e0b4b2aa788190ae9eb37c1d73b1f1 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e69f42db688190a3ccfba5601e8bf3 completed April 20, 2026, 9:48 p.m.
NED1 Entity disambiguation (via context triple) batch_6a089d3d55a08190b478b4b8f50ff101 completed May 16, 2026, 4:37 p.m.
NEDg Description generation batch_6a089e5816308190979cd7ab78a0c0f6 completed May 16, 2026, 4:42 p.m.
NED2 Entity disambiguation (via description) batch_6a089ecd0f988190afc859a511a18f7b completed May 16, 2026, 4:43 p.m.
Created at: April 16, 2026, 11:36 a.m.