Triple

T11279578
Position Surface form Disambiguated ID Type / Status
Subject Anne E267026 entity
Predicate hasDiminutive P456 FINISHED
Object Nan E409214 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: Nan | Statement: [Anne, hasDiminutive, Nan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nan
Context triple: [Anne, hasDiminutive, Nan]
  • A. Nan chosen
    Nan is a spirited, independent young woman in Louisa May Alcott’s novel "Jo’s Boys," known for challenging traditional gender roles and pursuing a medical career.
  • B. Nan
    Nan is a small historic city in northern Thailand known for its tranquil atmosphere, traditional Lanna culture, and ornate Buddhist temples.
  • C. Nanon
    Nanon is a loyal and selfless servant in Honoré de Balzac’s novel "Eugénie Grandet," known for her devotion to the Grandet household and especially to Eugénie.
  • D. Nane
    Nane is a Swedish lawyer and artist best known as the widow of former United Nations Secretary-General Kofi Annan.
  • E. Nari
    Nari is a groundbreaking feminist work by Bangladeshi writer and scholar Humayun Azad that critically examines the oppression and social position of women in Bengali and broader South Asian society.
  • 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_69d6aac8c2f48190ad0596f1f89f0470 completed April 8, 2026, 7:21 p.m.
NER Named-entity recognition batch_69d7e969b3448190940e2bd499d2d7de completed April 9, 2026, 6:01 p.m.
NED1 Entity disambiguation (via context triple) batch_69e4f46308348190a47f73030cae0be5 completed April 19, 2026, 3:27 p.m.
Created at: April 8, 2026, 9:31 p.m.