Triple
T26533017
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Queen of Knits |
E670869
|
entity |
| Predicate | usedAsMarketingMonikerFor |
P86932
|
FINISHED |
| Object | Sonia Rykiel brand |
—
|
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: Sonia Rykiel brand | Statement: [Queen of Knits, usedAsMarketingMonikerFor, Sonia Rykiel brand]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: usedAsMarketingMonikerFor Context triple: [Queen of Knits, usedAsMarketingMonikerFor, Sonia Rykiel brand]
-
A.
usedAsMarketingTaglineFor
Indicates that something is employed as a promotional slogan or catchphrase to market a particular product, service, brand, or entity.
-
B.
usedAsMarketingTitleIn
chosen
Indicates that something serves as a marketing title or promotional label within a specified context or medium.
-
C.
usedAsMarketingSubtitleFor
Indicates that something is employed as a secondary or supporting marketing tagline or subtitle for a primary promotional item or campaign.
-
D.
usedInMarketingMaterials
Indicates that something is included or featured as part of marketing or promotional materials.
-
E.
oftenUsedAsNameFor
Indicates that something frequently serves as a name or designation for 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_69eeb31ea1e08190b9ff43cf9bc25bf8 |
completed | April 27, 2026, 12:51 a.m. |
| NER | Named-entity recognition | batch_69f6b49436b0819094e21603054d05d4 |
completed | May 3, 2026, 2:36 a.m. |
| PD | Predicate disambiguation | batch_69f6b3a5fd8481909433e923c5e24e55 |
completed | May 3, 2026, 2:32 a.m. |
Created at: April 27, 2026, 1:36 a.m.