Triple
T36842558
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Charlie (fragrance) |
E910445
|
entity |
| Predicate | brandLongevity |
P181502
|
FINISHED |
| Object | multi-decade |
—
|
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: multi-decade | Statement: [Charlie (fragrance), brandLongevity, multi-decade]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: brandLongevity Context triple: [Charlie (fragrance), brandLongevity, multi-decade]
-
A.
brandLegacyPreservedBy
Indicates that the enduring reputation, values, or heritage of a brand is maintained or carried forward by a particular entity or action.
-
B.
isLongEstablishedBrandProduct
chosen
Indicates that a product belongs to a brand that has been in existence and recognized in the market for a long period of time.
-
C.
brandOwnerSince
Indicates the point in time since which one entity has owned or held ownership rights to a particular brand.
-
D.
brandStatusAtIntroduction
Indicates the status or condition of a brand at the time it is first introduced to the market or public.
-
E.
franchiseLongevity
Indicates the duration or length of time that a franchise has existed or been in operation.
- 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_69f76e7f65a881908651b702da592b6d |
completed | May 3, 2026, 3:49 p.m. |
| NER | Named-entity recognition | batch_69fa0a7b00948190a257273d9968c5d7 |
completed | May 5, 2026, 3:19 p.m. |
| PD | Predicate disambiguation | batch_69f9fec9c9488190ae2a349651a02782 |
completed | May 5, 2026, 2:29 p.m. |
Created at: May 3, 2026, 4:13 p.m.