Triple

T8626004
Position Surface form Disambiguated ID Type / Status
Subject La Chinoise E204281 entity
Predicate stars P1956 FINISHED
Object Lex de Bruijn
Lex de Bruijn is an actor known for his role in Jean-Luc Godard’s 1967 French New Wave film "La Chinoise."
 E749539 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: Lex de Bruijn | Statement: [La Chinoise, stars, Lex de Bruijn]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Lex de Bruijn
Context triple: [La Chinoise, stars, Lex de Bruijn]
  • A. Johan de Jonge
    Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
  • B. Willem Brakman
    Willem Brakman was a Dutch novelist known for his experimental, often surreal prose and significant contribution to postwar Dutch literature.
  • C. Maarten de Bruijn
    Maarten de Bruijn is a Dutch automotive engineer and entrepreneur best known as the co-founder and key designer behind the revival of the luxury sports car brand Spyker.
  • D. Jurriaan de Jonge
    Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch surname "de Jonge."
  • E. Laurens Jan Brinkhorst
    Laurens Jan Brinkhorst is a Dutch politician and diplomat from the Democrats 66 (D66) party who has served as a government minister and European Commissioner.
  • 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: Lex de Bruijn
Triple: [La Chinoise, stars, Lex de Bruijn]
Generated description
Lex de Bruijn is an actor known for his role in Jean-Luc Godard’s 1967 French New Wave film "La Chinoise."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Lex de Bruijn
Target entity description: Lex de Bruijn is an actor known for his role in Jean-Luc Godard’s 1967 French New Wave film "La Chinoise."
  • A. Johan de Jonge
    Johan de Jonge is a person notable enough to be recognized as a distinguished bearer of the surname "de Jonge."
  • B. Willem Brakman
    Willem Brakman was a Dutch novelist known for his experimental, often surreal prose and significant contribution to postwar Dutch literature.
  • C. Maarten de Bruijn
    Maarten de Bruijn is a Dutch automotive engineer and entrepreneur best known as the co-founder and key designer behind the revival of the luxury sports car brand Spyker.
  • D. Jurriaan de Jonge
    Jurriaan de Jonge is an individual notable enough to be specifically cited as a bearer of the Dutch surname "de Jonge."
  • E. Laurens Jan Brinkhorst
    Laurens Jan Brinkhorst is a Dutch politician and diplomat from the Democrats 66 (D66) party who has served as a government minister and European Commissioner.
  • 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_69ca834a4ea0819094970dceb9e389f3 completed March 30, 2026, 2:06 p.m.
NER Named-entity recognition batch_69cc472b8fa481909f52f83ea210483e completed March 31, 2026, 10:14 p.m.
NED1 Entity disambiguation (via context triple) batch_69cecc9abd1081909d45af7498ec7c34 completed April 2, 2026, 8:07 p.m.
NEDg Description generation batch_69cece1681288190a6c99407bc2f0bdd completed April 2, 2026, 8:14 p.m.
NED2 Entity disambiguation (via description) batch_69cecec118ac81909fbcafe841354c32 completed April 2, 2026, 8:17 p.m.
Created at: March 30, 2026, 6:26 p.m.