Triple
T14956681
| Position | Surface form | Disambiguated ID | Type / Status |
|---|---|---|---|
| Subject | Milla Jovovich |
E372946
|
entity |
| Predicate | hasModeledFor |
P17880
|
FINISHED |
| Object | Calvin Klein |
E39385
|
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: Calvin Klein | Statement: [Milla Jovovich, hasModeledFor, Calvin Klein]
NED1
Entity disambiguation (via context triple)
gpt-5-mini-2025-08-07
Target entity: Calvin Klein Context triple: [Milla Jovovich, hasModeledFor, Calvin Klein]
-
A.
Calvin Klein
chosen
Calvin Klein is an American fashion brand renowned for its minimalist aesthetic, iconic underwear and denim lines, and influential advertising campaigns.
-
B.
Tommy Hilfiger
Tommy Hilfiger is an American fashion brand and designer known for his classic, preppy clothing and accessories that blend traditional Americana with modern style.
-
C.
J.Crew (historically)
J.Crew is an American multi-brand, multi-channel retailer known for its classic, preppy clothing and accessories, which historically operated a flagship store on London's Regent Street.
-
D.
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.
-
E.
Kenzo
Kenzo is a Japanese masculine given name borne by various notable figures in fields such as architecture, fashion, and entertainment.
- 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_69d85cca979481908747d2a81eba1cea |
completed | April 10, 2026, 2:13 a.m. |
| NER | Named-entity recognition | batch_69ded6cc73848190ac181782b20dc838 |
completed | April 15, 2026, 12:07 a.m. |
| NED1 | Entity disambiguation (via context triple) | batch_69fe7e9e74fc8190bdd10a25c39829f3 |
completed | May 9, 2026, 12:23 a.m. |
Created at: April 10, 2026, 2:40 a.m.