Triple
T13590870
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Celine |
E324687
|
entity |
| Predicate | brandNameStyleChange |
P38795
|
FINISHED |
| Object | CELINE (accent removed) in 2018 |
—
|
LITERAL FINISHED |
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: CELINE (accent removed) in 2018 | Statement: [Celine, brandNameStyleChange, CELINE (accent removed) in 2018]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandNameStyleChange Context triple: [Celine, brandNameStyleChange, CELINE (accent removed) in 2018]
-
A.
brandingStyle
Indicates the specific visual and stylistic approach used to represent a brand’s identity.
-
B.
brandingNote
chosen
Indicates that an entity has an associated note or comment specifically about its branding, such as style, usage, or presentation guidelines.
-
C.
brandRevival
Indicates the process or action of restoring a declining or dormant brand to renewed strength, relevance, and market presence.
-
D.
brandEvolution
Indicates how a brand’s identity, positioning, or attributes change and develop over time.
-
E.
brandRevivedBy
Indicates that a previously inactive, discontinued, or defunct brand has been brought back into use or reintroduced by a specific agent or entity.
- 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_69d80769eaf081909d82f44e484d6113 |
completed | April 9, 2026, 8:09 p.m. |
| NER | Named-entity recognition | batch_69dbb056ce088190a6feb4266633d18b |
completed | April 12, 2026, 2:46 p.m. |
| PD | Predicate disambiguation | batch_69dbae18eaf48190809e8b365856cde9 |
completed | April 12, 2026, 2:37 p.m. |
Created at: April 9, 2026, 9:49 p.m.