Triple

T8468640
Position Surface form Disambiguated ID Type / Status
Subject Carnaval, Op. 9 E200226 entity
Predicate movement P81 FINISHED
Object Arlequin
Arlequin is a lively, characterful movement from Robert Schumann’s Carnaval, Op. 9, inspired by the comic Harlequin figure of the commedia dell’arte.
E540975 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: Arlequin | Statement: [Carnaval, Op. 9, movement, Arlequin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Arlequin
Context triple: [Carnaval, Op. 9, movement, Arlequin]
  • A. Hamelin de Balun
    Hamelin de Balun was an 11th-century Norman lord and marcher baron active in the Welsh borderlands.
  • B. Blondel
    Blondel is a French surname historically associated with several notable figures in architecture, engineering, and the arts.
  • C. Brighella
    Brighella is a cunning, roguish servant character from the Italian commedia dell’arte tradition, often portrayed as Harlequin’s sly and scheming counterpart.
  • D. Scaramouche
    Scaramouche is a 1923 silent swashbuckler film, based on Rafael Sabatini’s novel, in which Ramon Novarro stars as a French nobleman turned revolutionary and master swordsman during the French Revolution.
  • E. Pierre Gringoire
    Pierre Gringoire is a struggling poet and playwright who serves as a key viewpoint character and occasional comic figure in Victor Hugo’s novel "Notre-Dame de Paris."
  • 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: Arlequin
Triple: [Carnaval, Op. 9, movement, Arlequin]
Generated description
Arlequin is a lively, characterful movement from Robert Schumann’s Carnaval, Op. 9, inspired by the comic Harlequin figure of the commedia dell’arte.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Arlequin
Target entity description: Arlequin is a lively, characterful movement from Robert Schumann’s Carnaval, Op. 9, inspired by the comic Harlequin figure of the commedia dell’arte.
  • A. Hamelin de Balun
    Hamelin de Balun was an 11th-century Norman lord and marcher baron active in the Welsh borderlands.
  • B. Blondel
    Blondel is a French surname historically associated with several notable figures in architecture, engineering, and the arts.
  • C. Brighella chosen
    Brighella is a cunning, roguish servant character from the Italian commedia dell’arte tradition, often portrayed as Harlequin’s sly and scheming counterpart.
  • D. Scaramouche
    Scaramouche is a 1923 silent swashbuckler film, based on Rafael Sabatini’s novel, in which Ramon Novarro stars as a French nobleman turned revolutionary and master swordsman during the French Revolution.
  • E. Pierre Gringoire
    Pierre Gringoire is a struggling poet and playwright who serves as a key viewpoint character and occasional comic figure in Victor Hugo’s novel "Notre-Dame de Paris."
  • 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_69ca831a4f348190bfdd09250e86ae35 completed March 30, 2026, 2:05 p.m.
NER Named-entity recognition batch_69cbe4d445f48190884df64bb1aebd41 completed March 31, 2026, 3:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69ce39ead11c8190bf1524713a44a6fe completed April 2, 2026, 9:42 a.m.
NEDg Description generation batch_69ce3b1e188c8190ad894478141f6501 completed April 2, 2026, 9:47 a.m.
NED2 Entity disambiguation (via description) batch_69ce3bfd00948190b3956be3f8c5d547 completed April 2, 2026, 9:50 a.m.
Created at: March 30, 2026, 6:11 p.m.