Triple

T2859924
Position Surface form Disambiguated ID Type / Status
Subject Igor Stravinsky E63294 entity
Predicate notableWork P4 FINISHED
Object Pulcinella E23980 NE FINISHED

How this triple was built (2 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: Pulcinella | Statement: [Igor Stravinsky, notableWork, Pulcinella]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Pulcinella
Context triple: [Igor Stravinsky, notableWork, Pulcinella]
  • A. Geppetto
    Geppetto is a grieving woodcarver who creates the puppet Pinocchio and serves as a central emotional figure in Guillermo del Toro’s dark reimagining of the classic tale.
  • B. Pierrot chosen
    Pierrot is a traditional stock character from French pantomime and commedia dell’arte, typically portrayed as a sad, white-faced clown in loose white clothing.
  • C. Marcello
    Marcello is a masculine given name of Italian origin, commonly used in Italy and other Romance-language countries.
  • D. Jaquino
    Jaquino is a supporting character in Beethoven’s opera "Fidelio," typically portrayed as the young jailer in love with Marzelline.
  • E. Gobbo
    Gobbo is a mischievous goblin character who serves as one of the main troublemaking antagonists in Enid Blyton’s Noddy stories.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (3 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_69ab4c41e8c08190a9e8f5249cc12610 completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abdf8aec3c8190a4168d8c916b5268 completed March 7, 2026, 8:19 a.m.
NED1 Entity disambiguation (via context triple) batch_69b01d972aa481908f6cb5f27706990c completed March 10, 2026, 1:33 p.m.
Created at: March 6, 2026, 10:02 p.m.