Triple
T23448535
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | RMS |
E565609
|
entity |
| Predicate | associatedCompanyReputation |
P11701
|
FINISHED |
| Object | exclusive luxury brand |
—
|
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: exclusive luxury brand | Statement: [RMS, associatedCompanyReputation, exclusive luxury brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: associatedCompanyReputation Context triple: [RMS, associatedCompanyReputation, exclusive luxury brand]
-
A.
associatedWithReputation
chosen
Indicates a relationship where an entity is linked to, influenced by, or characterized in terms of another entity’s reputation or perceived standing.
-
B.
parentOrganizationReputation
Indicates the perceived status, credibility, or standing of a parent organization as it relates to its associated entities or activities.
-
C.
institutionalReputationContext
Indicates the situational or environmental factors that shape or influence an institution’s reputation.
-
D.
commercialReputation
Indicates the perceived standing or esteem of an entity in a commercial or business context, based on others’ experiences, opinions, or evaluations.
-
E.
scoringReputation
Indicates that one entity evaluates and assigns a reputation-related score to another entity based on its behavior or performance.
- 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_69e24584f9488190bb32730bd2ce023e |
completed | April 17, 2026, 2:36 p.m. |
| NER | Named-entity recognition | batch_69f1a64b27988190b4722425da964407 |
completed | April 29, 2026, 6:33 a.m. |
| PD | Predicate disambiguation | batch_69f06201d33481909b5fd7b92d03e658 |
completed | April 28, 2026, 7:30 a.m. |
Created at: April 17, 2026, 5:52 p.m.