Triple

T18101330
Position Surface form Disambiguated ID Type / Status
Subject Cesare Pugni E433223 entity
Predicate notableWork P4 FINISHED
Object La Esmeralda — NE NERFINISHED

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: La Esmeralda | Statement: [Cesare Pugni, notableWork, La Esmeralda]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: La Esmeralda
Context triple: [Cesare Pugni, notableWork, La Esmeralda]
  • A. La Esmeralda chosen
    La Esmeralda is a 19th-century classical ballet, inspired by Victor Hugo’s novel "The Hunchback of Notre-Dame," renowned for its dramatic storytelling and virtuosic choreography.
  • B. La Esmeralda
    La Esmeralda is a renowned Mexican national art school specializing in painting, sculpture, and printmaking.
  • C. La Esmeralda
    La Esmeralda is a small settlement located on Isla del Rey in the Balearic Islands of Spain.
  • D. The Angel Esmeralda
    The Angel Esmeralda is a collection of short stories by Don DeLillo that showcases his signature exploration of paranoia, mortality, and contemporary American life.
  • E. The Hunchback of Notre Dame
    The Hunchback of Notre Dame is a 1996 Disney animated musical drama film, loosely based on Victor Hugo’s novel, that follows the deformed bell-ringer Quasimodo as he struggles for acceptance and justice in medieval Paris.
  • F. None of above.
  • G. Unsure - the case is ambiguous/there is not enough information to decide.

Provenance (2 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_69d8b90916008190a1f110bd7ced5473 completed April 10, 2026, 8:47 a.m.
NER Named-entity recognition batch_69e4ddb6fed8819090798683353a5c08 completed April 19, 2026, 1:50 p.m.
Created at: April 10, 2026, 10:27 a.m.