Triple

T8946683
Position Surface form Disambiguated ID Type / Status
Subject BB 22200 E213236 entity
Predicate nickname P55 FINISHED
Object Nez Cassé
Nez Cassé is the popular nickname for a family of French electric locomotives characterized by their distinctive "broken nose" cab design.
 E768385 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: Nez Cassé | Statement: [BB 22200, nickname, Nez Cassé]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07 
Target entity: Nez Cassé
Context triple: [BB 22200, nickname, Nez Cassé]
  • A. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • B. Tous
    Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
  • C. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • D. Brice
    Brice is a central character in Tyler Perry's film "Temptation: Confessions of a Marriage Counselor," portrayed as the devoted but imperfect husband whose relationship is tested by infidelity and ambition.
  • E. Mahoudeau
    Mahoudeau is a sculptor character in Émile Zola’s novel "L’Œuvre," representing the struggles and ideals of avant-garde artists in 19th-century Paris.
  • 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: Nez Cassé
Triple: [BB 22200, nickname, Nez Cassé]
Generated description
Nez Cassé is the popular nickname for a family of French electric locomotives characterized by their distinctive "broken nose" cab design.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07 
Target entity: Nez Cassé
Target entity description: Nez Cassé is the popular nickname for a family of French electric locomotives characterized by their distinctive "broken nose" cab design.
  • A. Mistinguett
    Mistinguett was a famous French actress and singer of the early 20th century, celebrated as one of Paris’s most iconic music-hall stars.
  • B. Tous
    Tous is a Spanish jewelry and accessories brand known for its distinctive teddy bear logo and affordable luxury designs.
  • C. Souletin
    Souletin is a distinct dialect of the Basque language traditionally spoken in the Soule (Zuberoa) region of the French Basque Country.
  • D. Brice
    Brice is a central character in Tyler Perry's film "Temptation: Confessions of a Marriage Counselor," portrayed as the devoted but imperfect husband whose relationship is tested by infidelity and ambition.
  • E. Mahoudeau
    Mahoudeau is a sculptor character in Émile Zola’s novel "L’Œuvre," representing the struggles and ideals of avant-garde artists in 19th-century Paris.
  • 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_69ca839843408190a39069a029a89f15 completed March 30, 2026, 2:07 p.m.
NER Named-entity recognition batch_69cc66dd00c481908ff20fd66c1954cc completed April 1, 2026, 12:29 a.m.
NED1 Entity disambiguation (via context triple) batch_69cfc2022e30819089ba08f494a3a66f completed April 3, 2026, 1:34 p.m.
NEDg Description generation batch_69cfc27bae88819094bcfdf10e89018b completed April 3, 2026, 1:36 p.m.
NED2 Entity disambiguation (via description) batch_69cfc61d26fc8190817b430cb6fa9646 completed April 3, 2026, 1:52 p.m.
Created at: March 30, 2026, 6:59 p.m.