Triple

T3790709
Position Surface form Disambiguated ID Type / Status
Subject Jean-Marie Lehn E89638 entity
Predicate doctoralAdvisor P167 FINISHED
Object Guy Ourisson
Guy Ourisson was a French chemist known for his influential work in organic chemistry and for mentoring prominent scientists, including Nobel laureate Jean-Marie Lehn.
E574997 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: Guy Ourisson | Statement: [Jean-Marie Lehn, doctoralAdvisor, Guy Ourisson]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Guy Ourisson
Context triple: [Jean-Marie Lehn, doctoralAdvisor, Guy Ourisson]
  • A. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • B. Christian Bérard
    Christian Bérard was a French artist and theatrical designer renowned for his influential set and costume designs in ballet, theater, and film in the early 20th century.
  • C. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • D. J. André Fouilhoux
    J. André Fouilhoux was a French-born American architect known for his influential modernist designs in the early 20th century, particularly in New York City.
  • E. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • 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: Guy Ourisson
Triple: [Jean-Marie Lehn, doctoralAdvisor, Guy Ourisson]
Generated description
Guy Ourisson was a French chemist known for his influential work in organic chemistry and for mentoring prominent scientists, including Nobel laureate Jean-Marie Lehn.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Guy Ourisson
Target entity description: Guy Ourisson was a French chemist known for his influential work in organic chemistry and for mentoring prominent scientists, including Nobel laureate Jean-Marie Lehn.
  • A. Roland Gallois
    Roland Gallois is a film editor known for his work on the feature film "Slow West."
  • B. Christian Bérard
    Christian Bérard was a French artist and theatrical designer renowned for his influential set and costume designs in ballet, theater, and film in the early 20th century.
  • C. Frédéric Bricout
    Frédéric Bricout is a French politician who serves as the mayor of the northern French city of Cambrai.
  • D. J. André Fouilhoux
    J. André Fouilhoux was a French-born American architect known for his influential modernist designs in the early 20th century, particularly in New York City.
  • E. Michel Andrault
    Michel Andrault was a prominent French architect known for his influential large-scale housing and urban development projects in the late 20th century.
  • 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_69aed9597d6881909b6ee3b9de859223 completed March 9, 2026, 2:29 p.m.
NER Named-entity recognition batch_69aee7687c4481908d5e6988e2638b68 completed March 9, 2026, 3:29 p.m.
NED1 Entity disambiguation (via context triple) batch_69c16e581e94819086313b9d3a40b159 completed March 23, 2026, 4:46 p.m.
NEDg Description generation batch_69c1e023cfd0819089cb5727c673f098 completed March 24, 2026, 12:51 a.m.
NED2 Entity disambiguation (via description) batch_69c1e07df8388190ba0ed8879a4ca2ee completed March 24, 2026, 12:53 a.m.
Created at: March 9, 2026, 3:15 p.m.