Triple

T3053768
Position Surface form Disambiguated ID Type / Status
Subject Rachida Brakni E60431 entity
Predicate notableWork P4 FINISHED
Object Loin
Loin is a French film featuring actress Rachida Brakni in a notable role.
 E322422 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: Loin | Statement: [Rachida Brakni, notableWork, Loin]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Loin
Context triple: [Rachida Brakni, notableWork, Loin]
  • A. Seloo
    Seloo is a town in the Indian state of Maharashtra, known as a local commercial and educational center within the Vidarbha region.
  • B. Sioule
    The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Mysen
    Mysen is a small town in Indre Østfold municipality in southeastern Norway, known as a local commercial and transport hub on the Østfold railway line.
  • E. Lorn
    Lorn is a residential suburb of Maitland in the Hunter Region of New South Wales, Australia, known for its historic homes and village-like atmosphere.
  • 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: Loin
Triple: [Rachida Brakni, notableWork, Loin]
Generated description
Loin is a French film featuring actress Rachida Brakni in a notable role.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Loin
Target entity description: Loin is a French film featuring actress Rachida Brakni in a notable role.
  • A. Seloo
    Seloo is a town in the Indian state of Maharashtra, known as a local commercial and educational center within the Vidarbha region.
  • B. Sioule
    The Sioule is a river in central France that flows through the Auvergne region before joining the Allier River.
  • C. Sauvestre
    Sauvestre is a French surname most notably associated with architect Stephen Sauvestre, who contributed to the design of the Eiffel Tower.
  • D. Mysen
    Mysen is a small town in Indre Østfold municipality in southeastern Norway, known as a local commercial and transport hub on the Østfold railway line.
  • E. Lorn
    Lorn is a residential suburb of Maitland in the Hunter Region of New South Wales, Australia, known for its historic homes and village-like atmosphere.
  • 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_69ad8578137c81908259dcb27c7d6d7c completed March 8, 2026, 2:19 p.m.
NER Named-entity recognition batch_69ad9bf51b5081908ce355a76cfa9e3c completed March 8, 2026, 3:55 p.m.
NED1 Entity disambiguation (via context triple) batch_69b1ef00630c8190a3b5b2854350ecb9 completed March 11, 2026, 10:38 p.m.
NEDg Description generation batch_69b1efa8c11081908661b33e465e11bc completed March 11, 2026, 10:41 p.m.
NED2 Entity disambiguation (via description) batch_69b1f05e44e08190be8b194938b6c1c7 completed March 11, 2026, 10:44 p.m.
Created at: March 8, 2026, 3:01 p.m.