Triple

T17697387
Position Surface form Disambiguated ID Type / Status
Subject La Divina E441205 entity
Predicate linkedToWork P922 FINISHED
Object Tosca 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: Tosca | Statement: [La Divina, linkedToWork, Tosca]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Tosca
Context triple: [La Divina, linkedToWork, Tosca]
  • A. Tosca chosen
    Tosca is a feminine given name of Italian origin, best known today through its association with Giacomo Puccini’s opera and various contemporary bearers.
  • B. Lorenzaccio
    Lorenzaccio is a 19th-century French Romantic drama by Alfred de Musset, renowned for its complex, brooding title character and its exploration of political corruption and moral ambiguity in Renaissance Florence.
  • C. La Favorita
    La Favorita is the traditional local name of Palermo’s main football stadium, officially known as Stadio Renzo Barbera, in Sicily, Italy.
  • D. Aída
    Aída is a Spanish television series in which actress Lorena Bernal appeared in a notable role.
  • E. Aída
    Aída is a character in Mario Vargas Llosa’s novel "Conversación en La Catedral," playing a role within its complex portrayal of Peruvian society and political corruption.
  • 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_69d8b9ea20b48190ace88bb46b01e6a9 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e47157fd688190ba990eaf46ceab01 completed April 19, 2026, 6:08 a.m.
Created at: April 10, 2026, 10:04 a.m.