Triple

T20278145
Position Surface form Disambiguated ID Type / Status
Subject Commedia dell’arte E503067 entity
Predicate hasStockCharacter P139519 FINISHED
Object Arlecchino — NE NERFINISHED

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: Arlecchino | Statement: [Commedia dell’arte, hasStockCharacter, Arlecchino]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Arlecchino
Context triple: [Commedia dell’arte, hasStockCharacter, Arlecchino]
  • A. Rinuccio
    Rinuccio is a young Florentine nobleman and romantic lead in Giacomo Puccini’s one-act opera "Gianni Schicchi."
  • B. Marmirolo
    Marmirolo is a municipality in the Lombardy region of northern Italy, known for its rural landscape and proximity to the city of Mantua.
  • C. Carminuccio
    Carminuccio is an affectionate Italian diminutive form of the given name Carmine, often used as a nickname or term of endearment.
  • D. Tucca
    Tucca is a character appearing in the early 17th-century satirical play "Satiromastix" by Thomas Dekker.
  • E. Chicot the Jester
    Chicot the Jester is a historical adventure novel by Alexandre Dumas, featuring the witty and daring court jester Chicot amid the intrigues of 16th-century France.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Arlecchino
Target entity description: Arlecchino is a classic comic servant figure from Italian commedia dell’arte, known for his acrobatic antics, patchwork costume, and mischievous, clever-but-foolish personality.
  • A. Rinuccio
    Rinuccio is a young Florentine nobleman and romantic lead in Giacomo Puccini’s one-act opera "Gianni Schicchi."
  • B. Marmirolo
    Marmirolo is a municipality in the Lombardy region of northern Italy, known for its rural landscape and proximity to the city of Mantua.
  • C. Carminuccio
    Carminuccio is an affectionate Italian diminutive form of the given name Carmine, often used as a nickname or term of endearment.
  • D. Tucca
    Tucca is a character appearing in the early 17th-century satirical play "Satiromastix" by Thomas Dekker.
  • E. Chicot the Jester
    Chicot the Jester is a historical adventure novel by Alexandre Dumas, featuring the witty and daring court jester Chicot amid the intrigues of 16th-century France.
  • F. None of above. chosen
PD Predicate disambiguation gpt-5-mini-2025-08-07 
Target predicate: hasStockCharacter
Context triple: [Commedia dell’arte, hasStockCharacter, Arlecchino]
  • A. hasStockSeries
    Indicates that an entity is associated with a particular stock time series or sequence of stock-related data.
  • B. hasStockPosition
    Indicates that an entity holds a quantity of a particular stock, typically specifying ownership, size, and possibly direction (long or short) of the investment position.
  • C. hasHumanCharacteristic
    Indicates that an entity possesses a trait, quality, or behavior typically associated with humans.
  • D. stockedWith
    Indicates that one entity is supplied or filled with a particular item or resource by another entity.
  • E. hasRetailCharacteristic
    Indicates that an entity possesses a specific attribute, feature, or quality relevant to retail contexts (such as pricing, packaging, or point-of-sale properties).
  • F. None of above. chosen

Provenance (4 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_69e0b4b0e79c8190bd61f22ef1329fa8 completed April 16, 2026, 10:06 a.m.
NER Named-entity recognition batch_69e675e59f7c819086638b871ecbbd40 completed April 20, 2026, 6:52 p.m.
PD Predicate disambiguation batch_69e55b1e5e1c8190ba8a5544b1db9e1d completed April 19, 2026, 10:45 p.m.
PDg Predicate description generation batch_69e56702ad04819099c1c08f28d16809 completed April 19, 2026, 11:36 p.m.
Created at: April 16, 2026, 10:35 a.m.