Triple
T10601490
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Stella Maxwell |
E275757
|
entity |
| Predicate | workedFor |
P1910
|
FINISHED |
| Object | Moschino |
E835860
|
NE 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: Moschino | Statement: [Stella Maxwell, workedFor, Moschino]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Moschino Context triple: [Stella Maxwell, workedFor, Moschino]
-
A.
Moschino
chosen
Moschino is an Italian luxury fashion house known for its playful, irreverent designs and bold, pop-culture-inspired aesthetic.
-
B.
St. Laurent
St. Laurent is the surname of Louis St. Laurent, who served as the 12th prime minister of Canada in the mid-20th century.
-
C.
Valentino
Valentino is a renowned Italian luxury fashion house celebrated for its elegant haute couture, ready-to-wear, and iconic red-carpet designs.
-
D.
Valentino
Valentino is a 1977 biographical drama film about silent film icon Rudolph Valentino, directed by Ken Russell.
-
E.
Roberto Cavalli
Roberto Cavalli is an Italian fashion designer renowned for his glamorous, animal-print–driven aesthetic and luxury clothing and accessories brand.
- F. None of above.
- G. Unsure - the case is ambiguous/there is not enough information to decide.
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_69d6aaf948d88190806cc3a8c47a3fb2 |
completed | April 8, 2026, 7:22 p.m. |
| NER | Named-entity recognition | batch_69d6ded52f288190b40288d0acbe009b |
completed | April 8, 2026, 11:03 p.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69d95ea8f1688190aa36e29b52667d26 |
completed | April 10, 2026, 8:33 p.m. |
Created at: April 8, 2026, 7:31 p.m.