Triple
T29975483
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Donna Karan |
E761432
|
entity |
| Predicate | launchYearOfBrand |
P33111
|
FINISHED |
| Object | 1984 |
—
|
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: 1984 | Statement: [Donna Karan, launchYearOfBrand, 1984]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: launchYearOfBrand Context triple: [Donna Karan, launchYearOfBrand, 1984]
-
A.
brandLaunchYear
chosen
Indicates the calendar year in which a brand was first introduced or launched to the market.
-
B.
onlineLaunchYear
Indicates the year in which something (such as a service, product, or website) was first launched or made available online.
-
C.
introducedAsBrandBy
Indicates that one entity was presented or launched to the public or a market as a brand by another entity.
-
D.
incorporationYear
Indicates the calendar year in which an organization or entity was formally incorporated or legally established.
-
E.
introducedAsBrandFor
Indicates that one entity was presented or launched to the public specifically as the brand representing another 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_69f22467626081908d5afea489590e96 |
completed | April 29, 2026, 3:31 p.m. |
| NER | Named-entity recognition | batch_69f6afebd7ec8190ab696f363d84abf0 |
completed | May 3, 2026, 2:16 a.m. |
| PD | Predicate disambiguation | batch_69f6aca204148190850a3dc325bc07b7 |
completed | May 3, 2026, 2:02 a.m. |
Created at: April 29, 2026, 6:33 p.m.