Triple

T7643635
Position Surface form Disambiguated ID Type / Status
Subject Simba E173068 entity
Predicate createdBy P806 FINISHED
Object Irene Mecchi E187320 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: Irene Mecchi | Statement: [Simba, createdBy, Irene Mecchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene Mecchi
Context triple: [Simba, createdBy, Irene Mecchi]
  • A. Irene Mecchi chosen
    Irene Mecchi is an American screenwriter and lyricist best known for her work on Disney animated films such as The Lion King, The Hunchback of Notre Dame, and Hercules.
  • B. Paola Mori
    Paola Mori was an Italian-born actress and countess best known as the third wife of filmmaker Orson Welles and for her roles in several of his later projects.
  • C. Valeria Golino
    Valeria Golino is an Italian actress and director known for her work in both European art-house cinema and Hollywood films such as "Rain Man" and "Hot Shots!".
  • D. Silvana Mangano
    Silvana Mangano was an acclaimed Italian actress, best known for her breakthrough role in the neorealist film "Bitter Rice" (1949) and her collaborations with prominent European directors.
  • E. Marcella De Marchis
    Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
  • 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_69c6995360188190968ee57b72a1627f completed March 27, 2026, 2:50 p.m.
NER Named-entity recognition batch_69c6faef96908190a7724b204f9d8c9e completed March 27, 2026, 9:47 p.m.
NED1 Entity disambiguation (via context triple) batch_69c8ac8fdfe88190a535bf050eff5abb completed March 29, 2026, 4:37 a.m.
Created at: March 27, 2026, 3:58 p.m.