Triple

T17223475
Position Surface form Disambiguated ID Type / Status
Subject Martha Stettler E418048 entity
Predicate studentOf P48 FINISHED
Object Frédéric Humbert
Frédéric Humbert was a Swiss painter and art teacher active in the late 19th and early 20th centuries, known for mentoring artists such as Martha Stettler.
E1257791 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: Frédéric Humbert | Statement: [Martha Stettler, studentOf, Frédéric Humbert]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Frédéric Humbert
Context triple: [Martha Stettler, studentOf, Frédéric Humbert]
  • A. Joachim Gasquet
    Joachim Gasquet was a French poet, art critic, and close friend and early biographer of painter Paul Cézanne.
  • B. Thomas Ravier
    Thomas Ravier is a French politician who serves as the mayor of the town of Villefranche-sur-Saône.
  • C. Jean-Manuel Rozan
    Jean-Manuel Rozan is a French entrepreneur best known as a co-founder of the privacy-focused search engine Qwant.
  • D. Philippe Gille
    Philippe Gille was a 19th-century French librettist and journalist best known for writing opera librettos, often in collaboration with prominent composers and fellow writers.
  • E. Christophe Masle
    Christophe Masle is a French racehorse breeder best known for breeding the legendary National Hunt champion Sprinter Sacre.
  • 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: Frédéric Humbert
Triple: [Martha Stettler, studentOf, Frédéric Humbert]
Generated description
Frédéric Humbert was a Swiss painter and art teacher active in the late 19th and early 20th centuries, known for mentoring artists such as Martha Stettler.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Frédéric Humbert
Target entity description: Frédéric Humbert was a Swiss painter and art teacher active in the late 19th and early 20th centuries, known for mentoring artists such as Martha Stettler.
  • A. Joachim Gasquet
    Joachim Gasquet was a French poet, art critic, and close friend and early biographer of painter Paul Cézanne.
  • B. Thomas Ravier
    Thomas Ravier is a French politician who serves as the mayor of the town of Villefranche-sur-Saône.
  • C. Jean-Manuel Rozan
    Jean-Manuel Rozan is a French entrepreneur best known as a co-founder of the privacy-focused search engine Qwant.
  • D. Philippe Gille
    Philippe Gille was a 19th-century French librettist and journalist best known for writing opera librettos, often in collaboration with prominent composers and fellow writers.
  • E. Christophe Masle
    Christophe Masle is a French racehorse breeder best known for breeding the legendary National Hunt champion Sprinter Sacre.
  • 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_69d886d779488190b131369541c04e7d completed April 10, 2026, 5:12 a.m.
NER Named-entity recognition batch_69e42ddfe3bc8190b22cee4fc0590b74 completed April 19, 2026, 1:20 a.m.
NED1 Entity disambiguation (via context triple) batch_6a0167596ab481909df59ce68c7f640e completed May 11, 2026, 5:21 a.m.
NEDg Description generation batch_6a0169f4d520819095774ce5ee2d2220 completed May 11, 2026, 5:32 a.m.
NED2 Entity disambiguation (via description) batch_6a016a55114881909496549dfb7b6ff1 completed May 11, 2026, 5:34 a.m.
Created at: April 10, 2026, 5:38 a.m.