Triple

T14455875
Position Surface form Disambiguated ID Type / Status
Subject Amélie Poulain E358457 entity
Predicate parent P120 FINISHED
Object Amandine Poulain
Amandine Poulain is the mother of the whimsical Parisian heroine Amélie Poulain from the French film "Amélie."
E1107628 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: Amandine Poulain | Statement: [Amélie Poulain, parent, Amandine Poulain]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: Amandine Poulain
Context triple: [Amélie Poulain, parent, Amandine Poulain]
  • A. Amandine Henry
    Amandine Henry is a French professional footballer renowned as one of the world’s top defensive midfielders and a long-time leader for club and country.
  • B. Aurore Pajot
    Aurore Pajot is known as the spouse of acclaimed French film director Claude Chabrol.
  • C. Aurore Clément
    Aurore Clément is a French actress known for her work in European art cinema and international films, often collaborating with acclaimed directors such as Wim Wenders and Francis Ford Coppola.
  • D. Tiphaine Auzière
    Tiphaine Auzière is a French lawyer and political figure known both for her legal career and as the daughter of France’s First Lady, Brigitte Macron.
  • E. Noëlle Boisson
    Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
  • 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: Amandine Poulain
Triple: [Amélie Poulain, parent, Amandine Poulain]
Generated description
Amandine Poulain is the mother of the whimsical Parisian heroine Amélie Poulain from the French film "Amélie."
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: Amandine Poulain
Target entity description: Amandine Poulain is the mother of the whimsical Parisian heroine Amélie Poulain from the French film "Amélie."
  • A. Amandine Henry
    Amandine Henry is a French professional footballer renowned as one of the world’s top defensive midfielders and a long-time leader for club and country.
  • B. Aurore Pajot
    Aurore Pajot is known as the spouse of acclaimed French film director Claude Chabrol.
  • C. Aurore Clément
    Aurore Clément is a French actress known for her work in European art cinema and international films, often collaborating with acclaimed directors such as Wim Wenders and Francis Ford Coppola.
  • D. Tiphaine Auzière
    Tiphaine Auzière is a French lawyer and political figure known both for her legal career and as the daughter of France’s First Lady, Brigitte Macron.
  • E. Noëlle Boisson
    Noëlle Boisson is a French film editor known for her work on numerous acclaimed international films, including major historical and dramatic features.
  • 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_69d82794dfa081909b9134ad2e32244b completed April 9, 2026, 10:26 p.m.
NER Named-entity recognition batch_69de91a9c0d48190ae015e5e0db806ca completed April 14, 2026, 7:12 p.m.
NED1 Entity disambiguation (via context triple) batch_69fd94a4bb308190a39ba037debee16e completed May 8, 2026, 7:45 a.m.
NEDg Description generation batch_69fd95d33c8881909fd746c13f9697a1 completed May 8, 2026, 7:50 a.m.
NED2 Entity disambiguation (via description) batch_69fd962ae5008190a386ad5353c8b521 completed May 8, 2026, 7:52 a.m.
Created at: April 10, 2026, 1:19 a.m.