Triple

T17672788
Position Surface form Disambiguated ID Type / Status
Subject Lene E440566 entity
Predicate hasVariant P455 FINISHED
Object Leni 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: Leni | Statement: [Lene, hasVariant, Leni]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Leni
Context triple: [Lene, hasVariant, 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. Leni
    Leni is a small municipality on the island of Salina in Italy’s Aeolian archipelago, known for its coastal scenery and traditional Mediterranean character.
  • C. Leni Zumas
    Leni Zumas is an American novelist and short story writer best known for her critically acclaimed novel "Red Clocks," which blends feminist themes with speculative fiction.
  • D. Malena
    Malena is a feminine given name, commonly used in various cultures and often considered a diminutive or variant of names like Magdalena.
  • E. Reni
    Reni is a small port town in southwestern Ukraine situated near the borders with Romania and Moldova, along the Danube River.
  • 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_69d8b9e87e18819087104a44dc4dc5b1 completed April 10, 2026, 8:50 a.m.
NER Named-entity recognition batch_69e46f6aa64081908c9a82128a5a9024 completed April 19, 2026, 6 a.m.
Created at: April 10, 2026, 10 a.m.