Triple

T22051763
Position Surface form Disambiguated ID Type / Status
Subject Le Vieux Fusil E544901 entity
Predicate editedBy P1954 FINISHED
Object Gérard Bensdorp
Gérard Bensdorp is a film editor best known for his work on the acclaimed French drama "Le Vieux Fusil."
E1522933 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: Gérard Bensdorp | Statement: [Le Vieux Fusil, editedBy, Gérard Bensdorp]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Gérard Bensdorp
Context triple: [Le Vieux Fusil, editedBy, Gérard Bensdorp]
  • A. Gérard Schippers
    Gérard Schippers is a notable individual recognized as a prominent bearer of the Dutch surname Schippers.
  • B. Gérard Hekking
    Gérard Hekking was a prominent early 20th-century French cellist and influential pedagogue who taught at the Paris Conservatoire.
  • C. Jacques de Wert
    Jacques de Wert was a prominent 16th-century Franco-Flemish composer known for his expressive Italian madrigals that influenced later Renaissance and early Baroque music.
  • D. Hubert Bruls
    Hubert Bruls is a Dutch politician best known as the long-serving mayor of Nijmegen and a prominent figure in national public safety and crisis management.
  • E. René Paas
    René Paas is a Dutch politician who serves as the King's Commissioner (provincial governor) of Groningen in the Netherlands.
  • 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: Gérard Bensdorp
Triple: [Le Vieux Fusil, editedBy, Gérard Bensdorp]
Generated description
Gérard Bensdorp is a film editor best known for his work on the acclaimed French drama "Le Vieux Fusil."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Gérard Bensdorp
Target entity description: Gérard Bensdorp is a film editor best known for his work on the acclaimed French drama "Le Vieux Fusil."
  • A. Gérard Schippers
    Gérard Schippers is a notable individual recognized as a prominent bearer of the Dutch surname Schippers.
  • B. Gérard Hekking
    Gérard Hekking was a prominent early 20th-century French cellist and influential pedagogue who taught at the Paris Conservatoire.
  • C. Jacques de Wert
    Jacques de Wert was a prominent 16th-century Franco-Flemish composer known for his expressive Italian madrigals that influenced later Renaissance and early Baroque music.
  • D. Hubert Bruls
    Hubert Bruls is a Dutch politician best known as the long-serving mayor of Nijmegen and a prominent figure in national public safety and crisis management.
  • E. René Paas
    René Paas is a Dutch politician who serves as the King's Commissioner (provincial governor) of Groningen in the Netherlands.
  • 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_69e11e32445c8190ab97089b48a130bb completed April 16, 2026, 5:36 p.m.
NER Named-entity recognition batch_69f1285513fc8190b691e1f57085956f completed April 28, 2026, 9:36 p.m.
NED1 Entity disambiguation (via context triple) batch_6a0a9eac8da08190a71f28985ca86519 completed May 18, 2026, 5:07 a.m.
NEDg Description generation batch_6a0a9f5a0a2c8190b0a8a4c56938cc02 completed May 18, 2026, 5:10 a.m.
NED2 Entity disambiguation (via description) batch_6a0aa01988b481909fe3bf966feb5916 completed May 18, 2026, 5:14 a.m.
Created at: April 16, 2026, 8:26 p.m.