Triple
T2009635
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella McCartney |
E43661
|
entity |
| Predicate | inceptionOfBrand |
P33111
|
FINISHED |
| Object | 2001 |
—
|
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: 2001 | Statement: [Stella McCartney, inceptionOfBrand, 2001]
PD
Predicate disambiguation
gpt-5-mini-2025-08-07
Target predicate: inceptionOfBrand Context triple: [Stella McCartney, inceptionOfBrand, 2001]
-
A.
introducedAsBrandBy
Indicates that one entity was presented or launched to the public or a market as a brand by another entity.
-
B.
brandFounded
Indicates that a specific brand was established or created at a particular point in time or by a particular founder or entity.
-
C.
inceptionDate
Indicates the date on which an entity, event, or relationship was first created, established, or began to exist.
-
D.
brandLaunchYear
chosen
Indicates the calendar year in which a brand was first introduced or launched to the market.
-
E.
foundedAt
Indicates the time or date at which an entity (such as an organization, project, or institution) was established or created.
- 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_69a88716e9f08190946313fdc949e3cf |
completed | March 4, 2026, 7:25 p.m. |
| NER | Named-entity recognition | batch_69abb89be08c81909eb5ea672ea46b2b |
completed | March 7, 2026, 5:33 a.m. |
| PD | Predicate disambiguation | batch_69abb7a03a1c81909ad50d56667db2d5 |
completed | March 7, 2026, 5:29 a.m. |
Created at: March 4, 2026, 7:37 p.m.