Triple

T2901554
Position Surface form Disambiguated ID Type / Status
Subject Eugénie Grandet E62663 entity
Predicate mainCharacter P1183 FINISHED
Object 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.
 E310127 NE FINISHED

How this triple was built (4 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: Nanon | Statement: [Eugénie Grandet, mainCharacter, Nanon]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nanon
Context triple: [Eugénie Grandet, mainCharacter, Nanon]
  • A. Nengone
    Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
  • B. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • C. Nanocnide
    Nanocnide is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species related to nettles and hops.
  • D. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • E. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • F. None of above. chosen
  • G. Unsure - the case is ambiguous/there is not enough information to decide.
NEDg Description generation gpt-5.1
Instruction
Generate a one-sentence description of the target entity. 
You are given a context triple in the form (subject, predicate, object), where the object is the target entity. 
# Instructions
Use the triple to infer relevant information about the entity. Describe the entity based on what is most defining, well-known. 
Avoid repeating the information from the triple, unless really essential.
# Response Format
Return only the sentence: "Description: [one-sentence description of the target entity]"
Input
Entity: Nanon
Triple: [Eugénie Grandet, mainCharacter, Nanon]
Generated description
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.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nanon
Target entity description: 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.
  • A. Nengone
    Nengone is an Austronesian language spoken primarily by the indigenous Kanak people on Maré Island in New Caledonia.
  • B. Nesta
    Nesta is the middle name of legendary Jamaican reggae musician and cultural icon Bob Marley.
  • C. Nanocnide
    Nanocnide is a little-known genus of flowering plants in the hemp family Cannabaceae, likely comprising herbaceous species related to nettles and hops.
  • D. Neste
    Neste is a Finnish oil refining and renewable fuels company known for producing sustainable diesel and aviation fuels.
  • E. Nuk
    Nuk is a well-known baby care brand specializing in products like bottles, pacifiers, and accessories designed to support natural oral development.
  • F. None of above. chosen

Provenance (5 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_69ab4c3e070c8190b78d3d2c005876dd completed March 6, 2026, 9:50 p.m.
NER Named-entity recognition batch_69abe0b261c081909b66b21520b4731b completed March 7, 2026, 8:24 a.m.
NED1 Entity disambiguation (via context triple) batch_69b0560300548190879d148ec1791e7a completed March 10, 2026, 5:33 p.m.
NEDg Description generation batch_69b05e6fa8b481908b7bb9fbcf780aa8 completed March 10, 2026, 6:09 p.m.
NED2 Entity disambiguation (via description) batch_69b0621fe39c819098839b585ebbdb10 completed March 10, 2026, 6:25 p.m.
Created at: March 6, 2026, 10:10 p.m.