Triple

T13891715
Position Surface form Disambiguated ID Type / Status
Subject John Canty E333987 entity
Predicate relative P37 FINISHED
Object Nan unclear NED1 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: [John Canty, relative, Nan]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Nan
Context triple: [John Canty, relative, Nan]
  • A. Nan
    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. chosen

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_69d81c5dd2d48190b7a5fc1e009de936 completed April 9, 2026, 9:38 p.m.
NER Named-entity recognition batch_69de23a537d4819093c2bae2a244816a completed April 14, 2026, 11:23 a.m.
NED1 Entity disambiguation (via context triple) batch_69f7c71a43908190bc7537f0a2379599 completed May 3, 2026, 10:07 p.m.
Created at: April 9, 2026, 10:15 p.m.