Triple

T5589887
Position Surface form Disambiguated ID Type / Status
Subject Compagnie de l’Esthétique Industrielle E146848 entity
Predicate alternativeName P39 FINISHED
Object CEI
CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
E536771 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: CEI | Statement: [Compagnie de l’Esthétique Industrielle, alternativeName, CEI]
NED1 Entity disambiguation (via context triple) gpt-5-mini-2025-08-07
Target entity: CEI
Context triple: [Compagnie de l’Esthétique Industrielle, alternativeName, CEI]
  • A. ECI
    ECI is the independent constitutional authority responsible for administering and supervising elections in India at the national and state levels.
  • B. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • C. CEID
    CEID is a Yale University hub that combines makerspace facilities, engineering resources, and collaborative programs to support hands-on innovation and design projects.
  • D. ECIT
    ECIT is a research institute focused on advancing electronics, communications, and information technology.
  • E. CEPE
    CEPE is the commonly used abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches across the continent.
  • 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: CEI
Triple: [Compagnie de l’Esthétique Industrielle, alternativeName, CEI]
Generated description
CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
NED2 Entity disambiguation (via description) gpt-5-mini-2025-08-07
Target entity: CEI
Target entity description: CEI (Compagnie de l’Esthétique Industrielle) is a French industrial design company known for its work in product aesthetics and functional design across various industries.
  • A. ECI
    ECI is the independent constitutional authority responsible for administering and supervising elections in India at the national and state levels.
  • B. CEC
    CEC is the primary state agency responsible for energy policy, planning, and regulation in California.
  • C. CEID
    CEID is a Yale University hub that combines makerspace facilities, engineering resources, and collaborative programs to support hands-on innovation and design projects.
  • D. ECIT
    ECIT is a research institute focused on advancing electronics, communications, and information technology.
  • E. CEPE
    CEPE is the commonly used abbreviation for the Community of Protestant Churches in Europe, a fellowship of Protestant churches across the continent.
  • 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_69c009036c408190981a8d690b679b67 completed March 22, 2026, 3:21 p.m.
NER Named-entity recognition batch_69c0209ff5d88190843b6d134390ab71 completed March 22, 2026, 5:02 p.m.
NED1 Entity disambiguation (via context triple) batch_69c04d342f7881908a79522692e8f7f9 completed March 22, 2026, 8:12 p.m.
NEDg Description generation batch_69c04ed9159481909adeb9228ce59d0e completed March 22, 2026, 8:19 p.m.
NED2 Entity disambiguation (via description) batch_69c04f7856848190a835c3ee0a32f649 completed March 22, 2026, 8:22 p.m.
Created at: March 22, 2026, 3:38 p.m.