Triple

T4451406
Position Surface form Disambiguated ID Type / Status
Subject The Trial E97615 entity
Predicate notableCharacter P1481 FINISHED
Object Leni E179957 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: Leni | Statement: [The Trial, notableCharacter, Leni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leni
Context triple: [The Trial, notableCharacter, Leni]
  • A. Leni chosen
    Leni is a diminutive form of the given name Leonore, commonly used as a short or affectionate version of the name.
  • B. Malena
    Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
  • C. Reni
    Reni is the influential drummer of the English rock band The Stone Roses, renowned for his inventive, groove-driven playing and distinctive backing vocals.
  • D. Leisen
    Leisen is a surname most notably associated with Mitchell Leisen, a prominent American film director and art director of Hollywood’s classic era.
  • E. Rawitsch
    Rawitsch is a historical town that was once part of the Prussian Province of Posen in what is now western Poland.
  • 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_69b3454777808190b78aa9047ba1f018 completed March 12, 2026, 10:59 p.m.
NER Named-entity recognition batch_69b355f3731c81909cc5a782b12ddd38 completed March 13, 2026, 12:10 a.m.
NED1 Entity disambiguation (via context triple) batch_69b6138b6c8c8190a21ad00fb230c0f0 completed March 15, 2026, 2:03 a.m.
Created at: March 12, 2026, 11:33 p.m.