Triple
T38156498
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Dior haute couture collections |
E952900
|
entity |
| Predicate | foundingDesigner |
P184
|
FINISHED |
| Object | Christian Dior |
—
|
NE NERFINISHED |
How this triple was built (2 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: Christian Dior | Statement: [Dior haute couture collections, foundingDesigner, Christian Dior]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: foundingDesigner Context triple: [Dior haute couture collections, foundingDesigner, Christian Dior]
-
A.
designedBy
chosen
Indicates that one entity is the creator, planner, or architect responsible for the form or structure of another entity.
-
B.
designerNationality
Indicates that a designer has a specific national or country affiliation.
-
C.
designerAlias
Indicates that one name or label is used as an alternative alias for a designer.
-
D.
designedByCompanyFoundedBy
Indicates that something was designed by a company that was founded by a specified entity.
-
E.
designedByFirmHeadedBy
Indicates that something was designed by a firm whose leader or head is a specified person.
- F. None of above.
Provenance (3 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_69f76f0a67f4819080c492f61d688fcc |
completed | May 3, 2026, 3:51 p.m. |
| NER | Named-entity recognition | batch_69ff6ef0d61c81909162d37c15a1a3c3 |
completed | May 9, 2026, 5:29 p.m. |
| PD | Predicate disambiguation | batch_69ff6c6a58e08190921317062cd9d489 |
completed | May 9, 2026, 5:18 p.m. |
Created at: May 3, 2026, 4:21 p.m.