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.