Triple

T5161726
Position Surface form Disambiguated ID Type / Status
Subject The Lion King (stage musical) E116451 entity
Predicate bookBy P2353 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: [The Lion King (stage musical), bookBy, Irene Mecchi]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Irene Mecchi
Context triple: [The Lion King (stage musical), bookBy, 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. 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.
  • D. Marcella De Marchis
    Marcella De Marchis was an Italian costume and production designer active in mid-20th-century cinema and theater.
  • E. Irene Morra
    Irene Morra is a scholar and editor known for her work on literature and culture, including editing the volume "Road to Morocco."
  • 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_69bd445edb3881909b93b34d260717fc completed March 20, 2026, 12:58 p.m.
NER Named-entity recognition batch_69bd79268ea48190a22d3350babc153c completed March 20, 2026, 4:43 p.m.
NED1 Entity disambiguation (via context triple) batch_69beefa840288190ad0e1ab7af8b9c4c completed March 21, 2026, 7:21 p.m.
Created at: March 20, 2026, 1:44 p.m.