Triple

T10495101
Position Surface form Disambiguated ID Type / Status
Subject Nuts in May E247515 entity
Predicate editor P1954 FINISHED
Object Paule du Boulay
Paule du Boulay is a film editor best known for her work on British productions such as the comedy "Nuts in May."
E897572 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: Paule du Boulay | Statement: [Nuts in May, editor, Paule du Boulay]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Paule du Boulay
Context triple: [Nuts in May, editor, Paule du Boulay]
  • A. Odile Mallet
    Odile Mallet is an actress known for her role in the visually distinctive French science-fiction film "The City of Lost Children."
  • B. Micheline Roquebrune
    Micheline Roquebrune is a French-Moroccan painter and golf enthusiast best known as the longtime wife of Scottish actor Sean Connery.
  • C. Françoise Noguès
    Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
  • D. Léonore Baulac
    Léonore Baulac is a French ballet dancer and étoile (principal) of the Paris Opera Ballet, acclaimed for her artistry and leading roles in the classical and contemporary repertoire.
  • E. Melvil Poupaud
    Melvil Poupaud is a French actor and filmmaker known for his work in European art-house cinema, including collaborations with directors like Raúl Ruiz and François Ozon.
  • 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: Paule du Boulay
Triple: [Nuts in May, editor, Paule du Boulay]
Generated description
Paule du Boulay is a film editor best known for her work on British productions such as the comedy "Nuts in May."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Paule du Boulay
Target entity description: Paule du Boulay is a film editor best known for her work on British productions such as the comedy "Nuts in May."
  • A. Odile Mallet
    Odile Mallet is an actress known for her role in the visually distinctive French science-fiction film "The City of Lost Children."
  • B. Micheline Roquebrune
    Micheline Roquebrune is a French-Moroccan painter and golf enthusiast best known as the longtime wife of Scottish actor Sean Connery.
  • C. Françoise Noguès
    Françoise Noguès is a French physician best known as the mother of Brigitte Macron, the First Lady of France.
  • D. Léonore Baulac
    Léonore Baulac is a French ballet dancer and étoile (principal) of the Paris Opera Ballet, acclaimed for her artistry and leading roles in the classical and contemporary repertoire.
  • E. Melvil Poupaud
    Melvil Poupaud is a French actor and filmmaker known for his work in European art-house cinema, including collaborations with directors like Raúl Ruiz and François Ozon.
  • 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_69d381c309b88190af78aa681cf6a4c2 completed April 6, 2026, 9:49 a.m.
NER Named-entity recognition batch_69d5098be488819083d614f528cd82fb completed April 7, 2026, 1:41 p.m.
NED1 Entity disambiguation (via context triple) batch_69e343cd76448190b0583cc15005ac9d completed April 18, 2026, 8:41 a.m.
NEDg Description generation batch_69e34fb556648190909c403f5b7709f2 completed April 18, 2026, 9:32 a.m.
NED2 Entity disambiguation (via description) batch_69e358f860f08190bfd10519ff3806aa completed April 18, 2026, 10:12 a.m.
Created at: April 6, 2026, 12:24 p.m.